yidingjiang's Stars
PufferAI/PufferLib
Simplifying reinforcement learning for complex game environments
ProfSynapse/Synapse_CoR
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).
tatsu-lab/gpt_paper_assistant
GPT4 based personalized ArXiv paper assistant bot
SeanNaren/minGPT
A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!
weitianxin/awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
Liuhong99/Sophia
The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”
AllanYangZhou/nfn
NF-Layers for constructing neural functionals.
WeiWangTrento/Robust-Differentiable-SVD
google-research/google-research
Google Research
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"
moskomule/dda
Differentiable Data Augmentation Library
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
Oulu-IMEDS/pytorch_bn_fusion
Batch normalization fusion for PyTorch
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
zzd1992/Image-Local-Attention
A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
AlexKuhnle/ShapeWorld
google-deepmind/dm_hard_eight
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
khurramjaved96/awesome-continual-learning
A repository to keep track of literature on catastrophic forgetting
khurramjaved96/mrcl
Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
ericjang/gumbel-softmax
categorical variational autoencoder using the Gumbel-Softmax estimator
yunjey/show-attend-and-tell
TensorFlow Implementation of "Show, Attend and Tell"
vik-goel/MOREL
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
yaroslavvb/notebooks
vahidk/EffectiveTensorflow
TensorFlow tutorials and best practices.