HerneSong

HerneSong's Stars

• CurryTang/Awesome_Graph_Foundation_Models

  Accompanied repositories for our paper Graph foundation model

  13612

• louaaron/Score-Entropy-Discrete-Diffusion

  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

  Language:Python37835

• cvignac/DiGress

  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

  Language:Python35371

• zdhNarsil/Awesome-GFlowNets

  A curated list of resources about generative flow networks (GFlowNets).

  40125

• dair-ai/ML-Papers-of-the-Week

  🔥Highlighting the top ML papers every week.

  10.1k589

• yuanqidu/awesome-graph-generation

  28218

• XiongjieDai/GPU-Benchmarks-on-LLM-Inference

  Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?

  Language:Jupyter Notebook89235

• recursionpharma/gflownet

  GFlowNet library specialized for graph & molecular data

  Language:Python20239

• benjaminsliu/logiccards

  36857

• WxxShirley/Awesome-Graph-Prompt

  Awesome Papers About Performing Prompting On Graphs

  33321

• XueFuzhao/awesome-mixture-of-experts

  A collection of AWESOME things about mixture-of-experts

  94871

• lucidrains/soft-moe-pytorch

  Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch

  Language:Python2398

• davidmrau/mixture-of-experts

  PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

  Language:Python964102

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k283

• LingxiaoShawn/PairNorm

  Source code for PairNorm (ICLR 2020)

  Language:Python7711

• ChandlerBang/DeCorr

  [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"

  Language:Python433

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.5k1.5k

• naganandy/graph-based-deep-learning-literature

  links to conference publications in graph-based deep learning

  Language:Jupyter Notebook4.8k773

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.4k3.7k

• THUMNLab/awesome-large-graph-model

  Papers about large graph models.

  25417

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  22021

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  77568

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

  Language:Jupyter Notebook12.2k1.9k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.4k3.2k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.2k3.6k

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k612

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16k3k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

  748

• chriskiehl/Gooey

  Turn (almost) any Python command line program into a full GUI application with one line

  Language:Python20.6k1k