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ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A collection of resources and papers on Diffusion Models
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
⏰ Collaboratively track worldwide conference deadlines (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Reading list for research topics in multimodal machine learning
Lightning ⚡️ fast forecasting with statistical and econometric models.
Merlion: A Machine Learning Framework for Time Series Intelligence
Scalable and user friendly neural 🧠 forecasting algorithms.
High-Performance Symbolic Regression in Python and Julia
Diffusion model papers, survey, and taxonomy
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Repository containing notebooks of my posts on Medium
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight)
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A PyTorch Implementation of Federated Learning
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
《Reinforcement Learning: An Introduction》（第二版）中文翻译
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".