1rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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32 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
10 Weeks, 20 Lessons, Data Science for All!
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Python Data Science Handbook: full text in Jupyter Notebooks
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Learn how to develop, deploy and iterate on production-grade ML applications.
✅(已完结)超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
Python training for business analysts and traders
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
The fastai book, published as Jupyter Notebooks
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
The fastai deep learning library
💿 Free software that works great, and also happens to be open-source Python.
Performance analysis of predictive (alpha) stock factors
Instructional notebooks on music information retrieval.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
12 Weeks, 24 Lessons, IoT for All!
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Microsoft Quantum Development Kit Samples
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Natural Gradient Boosting for Probabilistic Prediction
Your new Mentor for Data Science E-Learning.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.