stefan-jansen / machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Code for Machine Learning for Algorithmic Trading, 2nd edition.
AirLLM 70B inference with single 4GB GPU
21 Lessons, Get Started Building with Generative AI
Python - 100天从新手到大师
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A latent text-to-image diffusion model
12 Lessons to Get Started Building AI Agents
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
12 Weeks, 24 Lessons, AI for All!
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
FinRL®: Financial Reinforcement Learning. 🔥
Python Data Science Handbook: full text in Jupyter Notebooks
📚 从零开始的大语言模型原理与实践教程
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Course Files for Complete Python 3 Bootcamp Course on Udemy
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Google Research