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04-practice-project

Github Action practice

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

classimbalancelearning

This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019

coop_langevin_public

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

darts

Differentiable architecture search for convolutional and recurrent networks

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

distributionbalancedloss

Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

meta-sampling

Bayesian Meta Sampling for Fast Uncertainty Adaptation

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

meta-weight-net_class-imbalance

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).

meta-weight-net_code-optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

mlops-templates

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

pinn

PyTorch Implementation of Physics-informed Neural Networks

prompt-distribution-of-clip-long-tailed-data

pytorch-for-deep-learning-and-computer-vision-course-all-codes-

PyTorch for Deep Learning and Computer Vision Course

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

reinforcement-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning