Python 3 module to print out long strings of text with intervals of time inbetween
Install: pip install fastprint
Sync Usage:
from fastprint import pr
pr("long\ntext") # each line takes 1 second
pr("other\n\long\text", 0.2) # each line takes 0.2 seconds
Async usage:
from async_fastprint import async_pr
async def foo:
return async_pr("This\nis\nasynchrounous!")
Check out example.py for more
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization This codebase is the official implementation of Test-Time Classifier A
Hand Gesture Volume Controller Using this you can control your PC/Laptop volume by Hand Gestures (pinch-in, pinch-out). Code Firstly I have created a
ExtendedSumm This repository contains the implementation details and datasets used in On Generating Extended Summaries of Long Documents paper at the
Feel free to visit my homepage Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DIMP) [ECCVW2020 paper] Presentation
[AAAI 2021]DropLoss for Long-Tail Instance Segmentation [AAAI 2021] DropLoss for Long-Tail Instance Segmentation Ting-I Hsieh*, Esther Robb*, Hwann-Tz
Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
Long-term-Motion-in-3D-Scenes This is an implementation of the CVPR'21 paper "Synthesizing Long-Term 3D Human Motion and Interaction in 3D". Please ch
MiSLAS Improving Calibration for Long-Tailed Recognition Authors: Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia [arXiv] [slide] [BibTeX] Introductio
Improving Calibration for Long-Tailed Recognition (CVPR2021)
Learn PyTorch for Deep Learning (work in progress) I'd like to learn PyTorch. So I'm going to use this repo to: Add what I've learned. Teach others in
HACKTOBERFEST-2021-WEB-DEV Beginner-Hacktoberfest Need Your first pr for hacktoberfest 2k21 ? come on in About This is repository of Responsive Portfo
FairMOT - A simple baseline for one-shot multi-object tracking
Road feature embedding selection method Code for research paper experimentation Abstract Traffic forecasting models rely on data that needs to be sens
P-tuning v2 P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks An optimized prompt tuning strategy for sma
Multi-Graph Fusion Networks for Urban Region Embedding (IJCAI-22) This is the implementation of Multi-Graph Fusion Networks for Urban Region Embedding
Apple NeuralHash is a perceptual hashing method for images based on neural networks. It can tolerate image resize and compression.
Repo of the project "Team Creative Quantum AI: Schrödinger's Game of Life" Installation new conda env: conda create --name qcml python=3.8 conda activ
Advances in Financial Machine Learning Exercises Experimental solutions to selected exercises from the book Advances in Financial Machine Learning by
SemanticGAN This is the official code for: Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalizat
disclaimer: this code is modified from pytorch-tutorial Image classification with synthetic gradient in Pytorch I implement the Decoupled Neural Inter
Timeseria Timeseria is a time series processing library which aims at making it easy to handle time series data and to build statistical and machine l
Time Masking for Temporal Language Models This repository provides a reference implementation of the paper: Time Masking for Temporal Language Models
🌐 Python Voice Assistant 🌵 - User's greeting 🌵 - Writing tasks to todo-list ?
SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos ProjectPage | Paper | Video | Dataset (Part01
xTune Code for ACL2021 paper Consistency Regularization for Cross-Lingual Fine-Tuning. Environment DockerFile: dancingsoul/pytorch:xTune Install the f
Reinforcement Learning with Q Learning Algorithm Q learning algorithm is trained on the gym's frozen lake environment. Libraries Used gym Numpy tqdm P
DeepLab Introduction DeepLab is a state-of-art deep learning system for semantic image segmentation built on top of Caffe. It combines densely-compute
This codebase supports using language models (LMs) for true few-shot learning: learning to perform a task using a limited number of examples from a single task distribution.
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
47 Dec 28, 2022
16 Sep 11, 2021
76 Sep 5, 2022
![[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)](https://github.com/bismex/RLT-DIMP/raw/master/figure/thumbnail_title.PNG)
35 Oct 26, 2022
37 Dec 2, 2022
105 Nov 7, 2022
76 Dec 13, 2022
116 Dec 20, 2022
2.3k Dec 29, 2022
8 Oct 17, 2022
3.6k Jan 08, 2023
0 May 26, 2022
540 Dec 30, 2022
202 Nov 18, 2022
1.5k Dec 31, 2022
2 Sep 15, 2022
1.4k Jan 04, 2023
151 Dec 28, 2022
114 Dec 22, 2022
11 Aug 08, 2022
12 Jan 06, 2023
10 Dec 26, 2022
79 Dec 16, 2022
42 Dec 09, 2022
1 Nov 10, 2021
234 Nov 14, 2022
124 Jan 04, 2023
9 Dec 26, 2022