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aeiou (USTCdyf)

USTCdyf

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LangChainStudy

这个项目是一个Jupyter notebook的集合，专门用于学习和探索LangChain框架。

Language:Jupyter NotebookLicense:MITStargazers:309Issues:0Issues:0

MetaGPT

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Language:PythonLicense:MITStargazers:43979Issues:0Issues:0

LLaMA-Factory

Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Language:PythonLicense:Apache-2.0Stargazers:31762Issues:0Issues:0

uni2ts

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:796Issues:0Issues:0

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Language:PythonLicense:Apache-2.0Stargazers:729Issues:0Issues:0

PDF

An official implementation of "Periodicity Decoupling Framework for Long-term Series Forecasting" (ICLR 2024)

Language:PythonLicense:AGPL-3.0Stargazers:100Issues:0Issues:0

Time-LLM

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

Language:PythonLicense:Apache-2.0Stargazers:1278Issues:0Issues:0

NuwaTS

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

Language:PythonStargazers:22Issues:0Issues:0

TimesNet

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

License:MITStargazers:688Issues:0Issues:0

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Language:PythonLicense:MITStargazers:6482Issues:0Issues:0

NeurIPS2023-One-Fits-All

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Language:PythonStargazers:447Issues:0Issues:0

video-retalking

[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild

Language:PythonLicense:Apache-2.0Stargazers:6432Issues:0Issues:0

Moore-AnimateAnyone

Character Animation (AnimateAnyone, Face Reenactment)

Language:PythonLicense:Apache-2.0Stargazers:3103Issues:0Issues:0

magic_animate_unofficial

An unoffical training code of Magic Animate

Language:PythonLicense:Apache-2.0Stargazers:35Issues:0Issues:0

RGLT

Language:PythonStargazers:10Issues:0Issues:0

RegularX

This work studies the explainability of graph neural networks (GNNs), which is important for the credibility of GNNs in practical usage.

Language:Jupyter NotebookStargazers:3Issues:0Issues:0