neolifer's Stars
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
meta-llama/llama
Inference code for Llama models
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
Anjok07/ultimatevocalremovergui
GUI for a Vocal Remover that uses Deep Neural Networks.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
ShiArthur03/ShiArthur03
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
Timothyxxx/Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
divelab/DIG
A library for graph deep learning research
KimMeen/Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
LibCity/Bigscity-LibCity
LibCity: An Open Library for Urban Spatial-temporal Data Mining
RexYing/gnn-model-explainer
gnn explainer
wehos/awesome-graph-transformer
Papers about graph transformers.
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
cynricfu/MAGNN
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
lucashu1/link-prediction
Representation learning for link prediction within social networks
chennnM/GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
mengliu1998/awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
DirtyHarryLYL/HAKE-Action-Torch
HAKE-Action in PyTorch
lucidrains/glom-pytorch
An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data
roscisz/TensorHive
Tool for managing exclusive GPU access for distributed machine learning workloads
leowyy/GraphTSNE
PyTorch Implementation of GraphTSNE, ICLR’19
MichSchli/GraphMask
Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.