mengliu1998

mengliu1998's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k1.1k16.4k27.4k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.5k6251798.1k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k2527.2k3.4k

• bharathgs/Awesome-pytorch-list

  A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

  15.6k572162.8k

• Oneflow-Inc/oneflow

  OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

  Language:C++6.3k1541k703

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.8k21710741

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.7k39191378

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k30128130

• THUDM/CogDL

  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

  Language:Python1.7k43117315

• ml-jku/hopfield-layers

  Hopfield Networks is All You Need

  Language:Python1.7k4421193

• lightaime/deep_gcns_torch

  Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

  Language:Python1.1k1760154

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python9972633190

• jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress

  Papers on Graph neural network(GNN)

  758586106

• facebookresearch/gtn

  Automatic differentiation with weighted finite-state transducers.

  Language:C++45436838

• wengong-jin/hgraph2graph

  Hierarchical Generation of Molecular Graphs using Structural Motifs

  Language:Python384748110

• snap-stanford/neural-subgraph-learning-GNN

  Language:Jupyter Notebook34693265

• openai/ebm_code_release

  Code for Implicit Generation and Generalization with Energy Based Models

  Language:Python34591066

• sunfanyunn/InfoGraph

  Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

  Language:Python31471245

• mengliu1998/awesome-deep-gnn

  Papers about developing deep Graph Neural Networks (GNNs)

  30216032

• sha256feng/mldl-md-dynamics

  A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.

  29839054

• rxn4chemistry/rxnmapper

  RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

  Language:Python295113170

• CUAI/CorrectAndSmooth

  [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)

  Language:Python286101452

• mufeili/DL4MolecularGraph

  Literature of deep learning for graphs in Chemistry and Biology

  19812147

• dglai/KDD20-Hands-on-Tutorial

  Scalable Graph Neural Networks with Deep Graph Library

  Language:Jupyter Notebook15110042

• wengong-jin/multiobj-rationale

  Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)

  Language:Python14331541

• twitter-research/sign

  SIGN: Scalable Inception Graph Network

  Language:Python955714

• chengsen/Awesome-Graph-Papers

  Collect papers about graph

  756013

• divelab/DeeperGNN

  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

  Language:Python693016

• yilundu/ebm_compositionality

  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models

  Language:Python45317

• aced125/AI_in_Drug_Discovery_Progress

  An up-to-date list of papers and code relating to progress in the burgeoning field of AI-Drug Discovery

  43609