ruocwang

ruocwang's Stars

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.8k4254.2k6.4k

• horovod/horovod

  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

  Language:Python14.3k3342.2k2.2k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k971812k

• D-X-Y/Awesome-AutoDL

  Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

  Language:Python2.3k11118317

• google-research/uda

  Unsupervised Data Augmentation (UDA)

  Language:Python2.2k45113313

• JavierAntoran/Bayesian-Neural-Networks

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

  Language:Jupyter Notebook1.9k2824304

• Kaixhin/Rainbow

  Rainbow: Combining Improvements in Deep Reinforcement Learning

  Language:Python1.6k4170286

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k43124285

• DeepVoltaire/AutoAugment

  Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

  Language:Jupyter Notebook1.5k2232199

• Lyken17/Efficient-PyTorch

  My best practice of training large dataset using PyTorch.

  Language:Python1.1k2726137

• facebookresearch/mobile-vision

  Mobile vision models and code

  Language:Python9044434160

• D-X-Y/NAS-Bench-201

  NAS-Bench-201 API and Instruction

  Language:Python626190115

• hjmshi/PyTorch-LBFGS

  A PyTorch implementation of L-BFGS.

  Language:Python593132167

• f-dangel/backpack

  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

  Language:Python56468256

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook488819155

• chenxin061/pdarts

  Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

  Language:Python36274184

• lightaime/sgas

  SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

  Language:Python162111628

• automl/RobustDARTS

  Understanding and Robustifying DARTS

  Language:Python15511640

• SNAS-Series/SNAS-Series

  This repo contains the PyTorch implementation of the SNAS-Series papers

  Language:Python14951025

• EthanRosenthal/spacecutter

  Ordinal regression models in PyTorch

  Language:Python13931116

• alecwangcq/KFAC-Pytorch

  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).

  Language:Python1294232

• zhaohui-yang/CARS

  [CVPR2020] CARS: Continuous Evolution for Efficient Neural Architecture Search

  10410521

• SHoltzen/dice

  Exact inference for discrete probabilistic programs. (Research code, more documentation and ergonomics to come)

  Language:OCaml8163620

• bobby-he/Neural_Tangent_Kernel

  Language:Jupyter Notebook67208

• tudor-berariu/fisher-information-matrix

  PyTorch implementation of FIM and empirical FIM

  Language:Python586213

• fmeirinhos/pytorch-hessianfree

  PyTorch implementation of Hessian Free optimisation

  Language:Python43638

• xiaomi-automl/MoreMNAS

  models for MoreMNAS

  Language:Python30201

• fmsnew/nas-bench-nlp-release

  Language:Jupyter Notebook26418

• liamcli/gaea_release

  Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

  Language:Python23206

• NivNayman/XNAS

  Language:Python18513