FeiGSSS

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

manim

Animation engine for explanatory math videos

ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

drawio-desktop

Official electron build of draw.io

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

RectifiedFlow

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

awesome-graph-transformer

Papers about graph transformers.

tokengt

[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch

SAT

Official Pytorch code for Structure-Aware Transformer.

awesome-topological-deep-learning

A curated list of topological deep learning (TDL) resources and links.

hypergraphx

HGX is a multi-purpose, open-source Python library for higher-order network analysis

Awesome-Hypergraph-Network

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

SAN

GraphMAE2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

tacoma

Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.

probing-graph-transformers

Code for our paper "Attending to Graph Transformers"

Specformer

Transformer-based Spectral Graph Neural Networks

Large_Scale_GCN_Benchmarking

This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

egt

Edge-Augmented Graph Transformer

bnu-thesis-template

Beijing Normal University bachelor, master and doctor thesis templates.

NeuLay

Accelerating Network Layouts Using Graph Neural Networks

py-draw-simplicial-complex

Draws a 2D simplicial complex from a list of simplices.

CycleRatio

Data and Codes from the paper "Characterizing cycle structure in complex networks"

NEDMP

Official PyTorch implementation of Neural Enhanced Dynamic Message Passing in AISTATS 2022

qsmethods