Notification Triggers for Python

Related tags

Deep Learningnotipyer
Overview

Notipyer

Notification triggers for Python

Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

Installation

python -m venv env
source env/bin/activate
pip install notipyer

Email Notifications

Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

  1. Turn off 2-Step authentication. Ref
  2. Turn on "Less Secure App Access" here

Configuration

from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

Sending Email

from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

Contact

Chirag Jain

You might also like...
Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip

null 1 Dec 30, 2021
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction

POPPY: Physical Optics Propagation in Python POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propaga

Space Telescope Science Institute 132 Dec 15, 2022
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project

Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav

Gaurav Pandey 2 Jan 8, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

null 2 Jul 19, 2022
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V

null 183 Jan 9, 2023
Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Python Kafka reset consumergroup offset example This is a simple example of how

Willi Carlsen 1 Feb 16, 2022
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

Yasunori Shimura 7 Oct 31, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework
A python-image-classification web application project, written in Python and served through the Flask Microframework

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Gerald Maduabuchi 19 Dec 12, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

Gerald Maduabuchi 19 Dec 12, 2022
Comments
  • Bump certifi from 2020.12.5 to 2022.12.7

    Bump certifi from 2020.12.5 to 2022.12.7

    Bumps certifi from 2020.12.5 to 2022.12.7.

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
    • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
    • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
    • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
Releases(v0.3.3)

  • v0.3.3(Mar 28, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None
html = """\
<html>
  <head></head>
  <body>
    <p>Hi!<br>
       How are you?<br>
    </p>
  </body>
</html>
""" # Can be None
is_async = True # Sent as an async email only if this parameter is True

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, html_text, is_async)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.3.2(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None
is_async = True # Sent as an async email only if this parameter is True

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, is_async)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.3.1(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.2.3(Dec 25, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.2.1(Sep 5, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    Notipyer-0.2.1.tar.gz(3.49 KB)
    Notipyer-0.2.1.win-amd64.zip(12.94 KB)

  • v0.2.0(Aug 27, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.1.2(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.2.tar.gz(3.20 KB)

  • v0.1.1(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.1.tar.gz(3.14 KB)

  • v.0.1.3(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.3.tar.gz(3.12 KB)
Owner
Chirag Jain
CSE Undergrad at IIIT Delhi
Chirag Jain
GitHub Repository https://pypi.org/project/notipyer/
Implementation for Learning to Track with Object Permanence

Learning to Track with Object Permanence A video-based MOT approach capable of tracking through full occlusions: Learning to Track with Object Permane

Toyota Research Institute - Machine Learning 91 Jan 03, 2023
PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks

AttentionHTR PyTorch implementation of an end-to-end Handwritten Text Recognition (HTR) system based on attention encoder-decoder networks. Scene Text

Dmitrijs Kass 31 Dec 22, 2022
This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).

Non-autoregressive Deep Learning-Based TTS Template This is a template for the Non-autoregressive TTS model. It contains Data Preprocessing Pipeline D

Keon Lee 13 Dec 05, 2022
Vision transformers (ViTs) have found only limited practical use in processing images

CXV Convolutional Xformers for Vision Vision transformers (ViTs) have found only limited practical use in processing images, in spite of their state-o

Cloudwalker 23 Sep 10, 2022
PyTorch implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Simple PyTorch Implementation of "Grokking" Implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Usage Running

Teddy Koker 15 Sep 29, 2022
Using Machine Learning to Create High-Res Fine Art

BIG.art: Using Machine Learning to Create High-Res Fine Art How to use GLIDE and BSRGAN to create ultra-high-resolution paintings with fine details By

Robert A. Gonsalves 13 Nov 27, 2022
ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

ByteTrack超详细教程！训练自己的数据集&&摄像头实时检测跟踪

Double-zh 45 Dec 19, 2022
Self-attentive task GAN for space domain awareness data augmentation.

SATGAN TODO: update the article URL once published. Article about this implemention The self-attentive task generative adversarial network (SATGAN) le

Nathan 2 Mar 24, 2022
SeMask: Semantically Masked Transformers for Semantic Segmentation.

SeMask: Semantically Masked Transformers Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi This repo co

Picsart AI Research (PAIR) 186 Dec 30, 2022
This is the official pytorch implementation of the BoxEL for the description logic EL++

BoxEL: Box EL++ Embedding This is the official pytorch implementation of the BoxEL for the description logic EL++. BoxEL++ is a geometric approach bas

1 Nov 03, 2022
PromptDet: Expand Your Detector Vocabulary with Uncurated Images

PromptDet: Expand Your Detector Vocabulary with Uncurated Images Paper Website Introduction The goal of this work is to establish a scalable pipeline

103 Dec 20, 2022
Official repository of the AAAI'2022 paper "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"

CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th

39 Dec 24, 2022
Keras code and weights files for popular deep learning models.

Trained image classification models for Keras THIS REPOSITORY IS DEPRECATED. USE THE MODULE keras.applications INSTEAD. Pull requests will not be revi

François Chollet 7.2k Dec 29, 2022
Code for NeurIPS 2021 paper: Invariant Causal Imitation Learning for Generalizable Policies

Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica, Daniel Jarrett, Mihaela van der Schaar Neural Information Processing System

Ioana Bica 17 Dec 01, 2022
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"

Memory In Memory Networks It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spati

Yang Li 12 May 30, 2022
Multi-Person Extreme Motion Prediction

Multi-Person Extreme Motion Prediction Implementation for paper Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer, Multi-Person Extre

GUO-W 38 Nov 15, 2022
An all-in-one application to visualize multiple different local path planning algorithms

Table of Contents Table of Contents Local Planner Visualization Project (LPVP) Features Installation/Usage Local Planners Probabilistic Roadmap (PRM)

Abdur Javaid 47 Dec 30, 2022
Using CNN to mimic the driver based on training data from Torcs

Behavioural-Cloning-in-autonomous-driving Using CNN to mimic the driver based on training data from Torcs. Approach First, the data was collected from

Sudharshan 2 Jan 05, 2022
Multi-Task Learning as a Bargaining Game

Nash-MTL Official implementation of "Multi-Task Learning as a Bargaining Game". Setup environment conda create -n nashmtl python=3.9.7 conda activate

Aviv Navon 87 Dec 26, 2022
Controlling a game using mediapipe hand tracking

These scripts use the Google mediapipe hand tracking solution in combination with a webcam in order to send game instructions to a racing game. It features 2 methods of control

3 May 17, 2022