Fei Gao (FeiGSSS)

FeiGSSS

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Location:Beijing

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Fei Gao's starred repositories

ChatGPT-Next-Web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

Language:TypeScriptLicense:MITStargazers:75645Issues:410Issues:3087

Stirling-PDF

#1 Locally hosted web application that allows you to perform various operations on PDF files

Language:JavaLicense:MITStargazers:43565Issues:147Issues:830

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Language:PythonLicense:Apache-2.0Stargazers:37002Issues:429Issues:1641

NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Language:PythonLicense:Apache-2.0Stargazers:11783Issues:205Issues:2258

gluonts

Probabilistic time series modeling in Python

Language:PythonLicense:Apache-2.0Stargazers:4572Issues:75Issues:960

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

Language:PythonLicense:MITStargazers:3543Issues:58Issues:1316

clash-for-linux-backup

基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core

Language:ShellLicense:GPL-3.0Stargazers:2278Issues:9Issues:81

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Language:PythonLicense:Apache-2.0Stargazers:1530Issues:13Issues:113

Time-LLM

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

Language:PythonLicense:Apache-2.0Stargazers:1314Issues:15Issues:147

UniRepLKNet

[CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

Language:PythonLicense:Apache-2.0Stargazers:913Issues:12Issues:19

Neural-Network-Parameter-Diffusion

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

auto-draft

基于GPT4的文献总结工具.

Language:TeXLicense:MITStargazers:355Issues:8Issues:10

awesome-llm-time-series

tracking papers, datasets, and models of "large language model (LLM) for time series"

TopoModelX

Topological Deep Learning

Language:Jupyter NotebookLicense:MITStargazers:225Issues:13Issues:62

LM4VisualEncoding

[ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"

Language:PythonLicense:MITStargazers:219Issues:4Issues:9

SGFormer

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

FreTS

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

Language:PythonLicense:Apache-2.0Stargazers:130Issues:2Issues:12

pytorchfi

A runtime fault injection tool for PyTorch :fire:

Language:PythonLicense:NOASSERTIONStargazers:100Issues:6Issues:36

GRIT

This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".

MTAD

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

InstructGraph

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

Language:Jupyter NotebookLicense:MITStargazers:66Issues:2Issues:9

tsad-model-selection

Code for "Unsupervised Model Selection for Time-series Anomaly Detection", ICLR 2023.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:64Issues:3Issues:4

MSAD

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

Language:Jupyter NotebookLicense:MITStargazers:23Issues:3Issues:0
Language:PythonLicense:MITStargazers:13Issues:1Issues:0
Language:Jupyter NotebookLicense:MITStargazers:11Issues:2Issues:0