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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 Weeks, 24 Lessons, AI for All!
🔊 Text-Prompted Generative Audio Model
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Free MLOps course from DataTalks.Club
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Overview and tutorial of the LangChain Library
The "Python Machine Learning (2nd edition)" book code repository and info resource
A collection of examples that show how to use CrewAI framework to automate workflows.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Code Repository for Machine Learning with PyTorch and Scikit-Learn
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Jupyter notebooks from the scikit-learn video series
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Efficient few-shot learning with Sentence Transformers
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
A comprehensive guide to building RAG-based LLM applications for production.
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
General Assembly's Data Science course in Washington, DC
Code, exercises and tutorials of my personal blog ! 📝