Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
The "Python Machine Learning (1st edition)" book code repository and info resource
The "Python Machine Learning (2nd edition)" book code repository and info resource
Implement a reasoning LLM in PyTorch from scratch, step by step
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI