XiaobinHong

Awesome-TimeSeries-SpatioTemporal-LM-LLM

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

TSandLanguage

awesome-graph-transformer

Papers about graph transformers.

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Non-Homophily-Benchmarks

[WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

GraphKAN-Graph-Kolmogorov-Arnold-Networks

pykan

Kolmogorov Arnold Networks

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。

awesome-mixture-of-experts

A collection of AWESOME things about mixture-of-experts

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

neurips2023_learning_on_graphs

List of papers on NeurIPS2023

GFMPapers

Must-read papers on graph foundation models (GFMs)

awesome-deep-learning-single-cell-papers

scDiffusion

A model developed for the generation of scRNA-seq data

OpenGraph

"OpenGraph: Towards Open Graph Foundation Models"

GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

TAPE

Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

ENGINE

Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"

InstructGraph

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

bulk2space

a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles

RCML

Reliable Conflictive Multi-view Learning

marsgt

Multi-omics data analysis for rare population inference using single-cell graph transformer