Stars
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
A curated collection of 150+ specialized AI Skills for software development, frontend, backend, automation, UI/UX, SEO, and DevOps. Each skill encapsulates a focused capability: generating code, te…
Zotero MCP: Connects your Zotero research library with Claude and other AI assistants via the Model Context Protocol to discuss papers, get summaries, analyze citations, and more.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering bio…
学术双语简历模板,涵盖教育背景、论文发表、项目经历、竞赛经历和个人陈述等关键部分,可适用于申请研究生项目、学术职位或相关行业岗位。
🧠 Train a 64M-parameter LLM from scratch in just 2h!
[ICML 2025] OneForecast: A Universal Framework for Global and Regional Weather Forecasting
A final sanity checklist to help your CS paper get accepted, not desk rejected.
Integrate the DeepSeek API into popular software
SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
CDFNet: Collaborative Decomposition and Forecasting Network for Time Series
SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality
This repository is for the paper entitled: From News to Forecast: Integrating Event Analysis in LLM-based Time Series Forecasting with Reflection (NeurIPS 2024)
Kolmogorov Arnold Network (KAN) for Time Series Forecasting (TSF)
Official implementation of "WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series Forecasting" (ICASSP 2024)
Experiment ASsistance for Your Time-Series Forecasting, EasyTSF
FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation (ICCV 2023)
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Code of 'Event Traffic Forecasting with Sparse Multimodal Data', MM24


