ruocwang

ruocwang's Stars

• hjmshi/PyTorch-LBFGS

  A PyTorch implementation of L-BFGS.

  Language:Python59367

• automl/RobustDARTS

  Understanding and Robustifying DARTS

  Language:Python15540

• f-dangel/backpack

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

  Language:Python56456

• bobby-he/Neural_Tangent_Kernel

  Language:Jupyter Notebook678

• 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:Python2.3k317

• fmsnew/nas-bench-nlp-release

  Language:Jupyter Notebook268

• 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 Notebook1.9k304

• alecwangcq/KFAC-Pytorch

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

  Language:Python12932

• lightaime/sgas

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

  Language:Python16228

• zhaohui-yang/CARS

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

  10421

• EthanRosenthal/spacecutter

  Ordinal regression models in PyTorch

  Language:Python13916

• D-X-Y/NAS-Bench-201

  NAS-Bench-201 API and Instruction

  Language:Python626115

• yihong-chen/neural-collaborative-filtering

  pytorch version of neural collaborative filtering

  Language:Jupyter Notebook488155

• DeepVoltaire/AutoAugment

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

  Language:Jupyter Notebook1.5k199

• SHoltzen/dice

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

  Language:OCaml8120

• SNAS-Series/SNAS-Series

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

  Language:Python14925

• D-X-Y/AutoDL-Projects

  Automated deep learning algorithms implemented in PyTorch.

  Language:Python1.6k285

• NivNayman/XNAS

  Language:Python183

• chenxin061/pdarts

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

  Language:Python36284

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

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

  Language:Python9k2k

• facebookresearch/fairseq

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

  Language:Python30.8k6.4k

• Kaixhin/Rainbow

  Rainbow: Combining Improvements in Deep Reinforcement Learning

  Language:Python1.6k286

• google-research/uda

  Unsupervised Data Augmentation (UDA)

  Language:Python2.2k313

• horovod/horovod

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

  Language:Python14.3k2.2k

• xiaomi-automl/MoreMNAS

  models for MoreMNAS

  Language:Python301

• Lyken17/Efficient-PyTorch

  My best practice of training large dataset using PyTorch.

  Language:Python1.1k137

• pytorch/examples

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

  Language:Python22.6k9.6k

• HRNet/HRNet-Object-Detection

  Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

  Language:Python64796

• Sarasra/models

  Models and examples built with TensorFlow

  Language:Python2.9k1.2k