Boosting-Algorithms-ML-Seminararbeit

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Google Research

The first real AI developer

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.

A game theoretic approach to explain the output of any machine learning model.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Etherpad: A modern really-real-time collaborative document editor.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.