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Chongqing University of Posts and Telecommunications
- chongqing,nanan,China
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17:05
(UTC -12:00) - https://www.cqupt.edu.cn/
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很多镜像都在国外。比如 gcr 。国内下载很慢,需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
One Hub All LLMs For You | 为个人打造的 LLM API 聚合服务
分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
A set of ready to use scientific skills for Claude
First Open-Source Industry-Specific Model for Semiconductors
A python library for user-friendly forecasting and anomaly detection on time series.
A Model Context Protocol server for Excel file manipulation
Lightweight coding agent that runs in your terminal
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
An Open Source implementation of Notebook LM with more flexibility and features
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,…
The AI Browser Automation Framework
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
🖥️Open-source Computer-USE for Windows
MCP Server for Computer Use in Windows
🌐 Permanent Hosting Site: http://ai-paper-finder.info/ 🌐 Hugging Face Hosting: https://huggingface.co/spaces/wenhanacademia/ai-paper-finder
List of awesome resources for machine learning-based algorithmic trading
Scalable machine 🤖 learning for time series forecasting.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
An offical implementation of "TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting" (ICLR 2025)