torchx
Torchx is a general framework for deep learning experiments under PyTorch based on pytorch-lightning.
TODO list
- gan-like training wrapper
- text logger
- tensorboard logger
- checkpoint saver
A general framework for deep learning experiments under PyTorch based on pytorch-lightning
Overview
Code for paper: Towards Tokenized Human Dynamics Representation
Video Tokneization Codebase for video tokenization, based on our paper Towards Tokenized Human Dynamics Representation. Prerequisites (tested under Py
20 May 31, 2022
Automatic Data-Regularized Actor-Critic (Auto-DrAC)
Auto-DrAC: Automatic Data-Regularized Actor-Critic This is a PyTorch implementation of the methods proposed in Automatic Data Augmentation for General
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Localization Distillation for Object Detection
Localization Distillation for Object Detection This repo is based on mmDetection. This is the code for our paper: Localization Distillation
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official implemntation for "Contrastive Learning with Stronger Augmentations"
CLSA CLSA is a self-supervised learning methods which focused on the pattern learning from strong augmentations. Copyright (C) 2020 Xiao Wang, Guo-Jun
47 Nov 29, 2022
Image Data Augmentation in Keras
Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset.
3 Feb 15, 2022
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning
LABES This is the code for EMNLP 2020 paper "A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised L
17 Sep 28, 2022
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis, including human motion imitation, appearance transfer, and novel view synthesis. Currently the paper is under review
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AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
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This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.
This is the repository for our 2020 paper "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis". Data We provide
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Tutorial to set up TensorFlow Object Detection API on the Raspberry Pi
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi
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Auto-updating data to assist in investment to NEPSE
Symbol Ratios Summary Sector LTP Undervalued Bonus % MEGA Strong Commercial Banks 368 5 10 JBBL Strong Development Banks 568 5 10 SIFC Strong Finance
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Baselines for TrajNet++
TrajNet++ : The Trajectory Forecasting Framework PyTorch implementation of Human Trajectory Forecasting in Crowds: A Deep Learning Perspective TrajNet
183 Jan 05, 2023
Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"
Focal Transformer This is the official implementation of our Focal Transformer -- "Focal Self-attention for Local-Global Interactions in Vision Transf
486 Dec 20, 2022
OpenVINO黑客松比赛项目
Window_Guard OpenVINO黑客松比赛项目 英文名称：Window_Guard 中文名称：窗口卫士 硬件 树莓派4B 8G版本 一个磁石开关 USB摄像头(MP4视频文件也可以) 软件(库) OpenVINO RPi 使用方法 本项目使用的OPenVINO是是2021.3版本，并使用了
6 Jul 04, 2021
Finite-temperature variational Monte Carlo calculation of uniform electron gas using neural canonical transformation.
CoulombGas This code implements the neural canonical transformation approach to the thermodynamic properties of uniform electron gas. Building on JAX,
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Easy to use Python camera interface for NVIDIA Jetson
JetCam JetCam is an easy to use Python camera interface for NVIDIA Jetson. Works with various USB and CSI cameras using Jetson's Accelerated GStreamer
358 Jan 02, 2023
ML course - EPFL Machine Learning Course, Fall 2021
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Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them"
ood-text-emnlp Code for EMNLP'21 paper "Types of Out-of-Distribution Texts and How to Detect Them" Files fine_tune.py is used to finetune the GPT-2 mo
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Spatial Contrastive Learning for Few-Shot Classification (SCL)
This repo contains the official implementation of Spatial Contrastive Learning for Few-Shot Classification (SCL), which presents of a novel contrastive learning method applied to few-shot image class
34 Dec 25, 2022
Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"
Train longer, generalize better - Big batch training This is a code repository used to generate the results appearing in "Train longer, generalize bet
145 Sep 16, 2022