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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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A comprehensive guide for fine-tuning Large Language Models (LLMs) on Apple Silicon Macs using MLX Framework and llama.cpp. This repository provides step-by-step instructions for environment setup, data preparation, model training, and deployment. Features include CSV to JSONL conversion tools, MLX-based fine-tuning deployment, and model testing.
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🚀 The fast, Pythonic way to build MCP servers and clients
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A collection of MCP clients.
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Python tool for converting files and office documents to Markdown.
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A collection of MCP servers.
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python 入門到分析股市(股票) 系列 [30篇] [python_TW_stock]
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Implementation of all RAG techniques in a simpler way
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Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
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SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.