song-wenhao

song-wenhao's Stars

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.6k155

• BorgwardtLab/NeuralWalker

  Official Pytorch implementation of NeuralWalker

  Language:Python172

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.3k1k

• Acemap/Acemap-Paper-X-Ray

  This repo is the source code of Acemap-Paper X-Ray, which is a system to evaluate the look of your uploaded paper for a specific conference.

  Language:Python253

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python1.9k31

• wpeebles/G.pt

  Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

  Language:Python33421

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.8k985

• yassouali/pytorch-segmentation

  :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

  Language:Jupyter Notebook1.6k379

• MishaLaskin/vqvae

  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

  Language:Jupyter Notebook58270

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.4k1k

• SingleZombie/DL-Demos

  Demos for deep learning

  Language:Python35089

• NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion

  We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

  Language:Python80841

• qitianwu/SGFormer

  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

  Language:Python20315

• hamed1375/Exphormer

  Exphormer: Sparse Transformer for Graphs

  Language:Python15520

• lmy1997/tuxiaoshi

  Language:Python17615

• ai-boost/awesome-prompts

  Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

  5k458

• microsoft/Graphormer

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  Language:Python2.1k331

• Rainbowman0/TML_LLIE

  code for "Troublemaker Learning for Low-Light Image Enhancement"

  Language:Python153

• wnlen/clash-for-linux

  clash-for-linux

  Language:Shell878344

• rampasek/GraphGPS

  Recipe for a General, Powerful, Scalable Graph Transformer

  Language:Python640114

• THUMNLab/awesome-large-graph-model

  Papers about large graph models.

  24315

• 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:Python2.2k315

• RockChinQ/QChatGPT

  😎高稳定性、🧩支持扩展、🦄多模态的 ChatGPT QQ / QQ频道 / One Bot 机器人🤖 | 支持 OpenAI GPT、GPT 4o、Claude、Gemini Pro、DeepSeek、Moonshot（Kimi）、gpt4free、One API、Ollama 的 QQ / QQ频道 / OneBot 机器人 / Agent 平台

  Language:Python4.2k328

• snap-stanford/GraphGym

  Platform for designing and evaluating Graph Neural Networks (GNN)

  Language:Python1.7k183

• THUMNLab/AutoGL-light

  Language:Jupyter Notebook91

• THUMNLab/AutoGL

  An autoML framework & toolkit for machine learning on graphs.

  Language:Python1.1k121

• lyq998/CDP

  Language:Python6

• THUMNLab/NAS-Bench-Graph

  Language:Python232

• THUDM/HGB

  Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

  Language:Python29947

• THUMNLab/awesome-auto-graph-learning

  A paper collection about automated graph learning

  937