yidingjiang

yidingjiang's Stars

• PufferAI/PufferLib

  Simplifying reinforcement learning for complex game environments

  Language:Python83635

• ProfSynapse/Synapse_CoR

  3k426

• tysam-code/hlb-gpt

  Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in <100 seconds. Scales to larger models with one parameter change (feature currently in alpha).

  Language:Python26324

• tatsu-lab/gpt_paper_assistant

  GPT4 based personalized ArXiv paper assistant bot

  Language:Python465113

• SeanNaren/minGPT

  A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!

  Language:Python11116

• weitianxin/awesome-distribution-shift

  A curated list of papers and resources about the distribution shift in machine learning.

  1038

• Liuhong99/Sophia

  The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

  Language:Python92352

• AllanYangZhou/nfn

  NF-Layers for constructing neural functionals.

  Language:Python724

• WeiWangTrento/Robust-Differentiable-SVD

  Language:Python727

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.7k7.8k

• uncharted-technologies/risk-and-uncertainty

  Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"

  Language:Jupyter Notebook283

• moskomule/dda

  Differentiable Data Augmentation Library

  Language:Jupyter Notebook11912

• IntelLabs/distiller

  Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

  Language:Jupyter Notebook4.3k797

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python5.9k2.1k

• Oulu-IMEDS/pytorch_bn_fusion

  Batch normalization fusion for PyTorch

  Language:Python19429

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.1k818

• zzd1992/Image-Local-Attention

  A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.

  Language:Python13520

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.4k2.9k

• QUVA-Lab/e2cnn

  E(2)-Equivariant CNNs Library for Pytorch

  Language:Python59375

• AlexKuhnle/ShapeWorld

  Language:Python5819

• google-deepmind/dm_hard_eight

  Language:Python854

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.2k9.5k

• khurramjaved96/awesome-continual-learning

  A repository to keep track of literature on catastrophic forgetting

  355

• khurramjaved96/mrcl

  Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

  Language:Python19226

• ericjang/gumbel-softmax

  categorical variational autoencoder using the Gumbel-Softmax estimator

  Language:Jupyter Notebook425101

• yunjey/show-attend-and-tell

  TensorFlow Implementation of "Show, Attend and Tell"

  Language:Jupyter Notebook908324

• vik-goel/MOREL

  Language:Python4312

• MorvanZhou/Reinforcement-learning-with-tensorflow

  Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

  Language:Python8.8k5k

• yaroslavvb/notebooks

  Language:Jupyter Notebook132

• vahidk/EffectiveTensorflow

  TensorFlow tutorials and best practices.

  8.6k908