1.rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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48 repositories by Attention Score · Oct 4, 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
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
10 Weeks, 20 Lessons, Data Science for All!
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
✅(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】
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
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.
Python training for business analysts and traders
The fastai book, published as Jupyter Notebooks
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
💿 Free software that works great, and also happens to be open-source Python.
The fastai deep learning library
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
12 Weeks, 24 Lessons, IoT for All!
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.
Performance analysis of predictive (alpha) stock factors
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Instructional notebooks on music information retrieval.
Your new Mentor for Data Science E-Learning.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The "Python Machine Learning (1st edition)" book code repository and info resource
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.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
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.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
《Python Cookbook》 3rd Edition Translation
Microsoft Quantum Development Kit Samples
A library for debugging/inspecting machine learning classifiers and explaining their predictions
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Natural Gradient Boosting for Probabilistic Prediction
Debugging, monitoring and visualization for Python Machine Learning and Data Science
PRML algorithms implemented in Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Create delightful software with Jupyter Notebooks
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
scPerturb: A resource and a python/R tool for single-cell perturbation data
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Integrated pipeline for multiplexed image analysis
Sources codes for: Mastering Python for Finance, Second Edition