ruocwang

ruocwang's Stars

• lukemelas/PyTorch-Pretrained-ViT

  Vision Transformer (ViT) in PyTorch

  Language:Python803127

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.5k136

• openai/DALL-E

  PyTorch package for the discrete VAE used for DALL·E.

  Language:Python10.8k1.9k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML11.3k953

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k490

• justincui03/dc_benchmark

  Language:Python8314

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k381

• UMich-CURLY-teaching/UMich-ROB-530-public

  UMich 500-Level Mobile Robotics Course

  Language:HTML674122

• openai/supervised-reptile

  Code for the paper "On First-Order Meta-Learning Algorithms"

  Language:JavaScript998214

• skhu101/GM-NAS

  Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"

  Language:Python212

• zbh2047/L_inf-dist-net-v2

  [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies

  Language:Cuda224

• Verified-Intelligence/alpha-beta-CROWN

  alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

  Language:Python25765

• stanleybak/vnncomp2021

  VNN Neural Network Verification Competition 2021

  Language:Python3722

• Verified-Intelligence/auto_LiRPA

  auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

  Language:Python29178

• shizhouxing/Fast-Certified-Robust-Training

  [NeurIPS 2021] Fast Certified Robust Training with Short Warmup

  Language:Python232

• eth-sri/adaptive-auto-attack

  Language:Python237

• MadryLab/mnist_challenge

  A challenge to explore adversarial robustness of neural networks on MNIST.

  Language:Python736179

• dso-org/deep-symbolic-optimization

  A deep learning framework for symbolic optimization.

  Language:Python612127

• VITA-Group/Open-L2O

  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

  Language:C++26844

• calclavia/NOS

  Neural optimizer search based on https://arxiv.org/pdf/1709.07417.pdf

  Language:Python7

• Neoanarika/Searching-for-activation-functions

  NIPS Implementation challenge 2017 for "Searching for activation functions" paper by Google Brain

  Language:Python3214

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.5k2.6k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.6k642

• facebookresearch/SymbolicMathematics

  Deep Learning for Symbolic Mathematics

  Language:Python532116

• baharanm/craig

  Data-efficient Training of Machine Learning Models

  Language:Python6324

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.6k598

• mogolola/neural_optimizer_search

  An implementation of ICML 2017 paper <<Neural Optimizer Search with Reinforcement Learning>> https://arxiv.org/abs/1709.07417

  Language:Python154

• graphdeeplearning/graphtransformer

  Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

  Language:Python909138

• xinconan/FE-blog

  收藏的文章和博客

  Language:JavaScript1

• trishullab/near

  Language:Python2411