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🦜🔗 Build context-aware reasoning applications
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
12 Weeks, 24 Lessons, AI for All!
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
A guidance language for controlling large language models.
💿 Free software that works great, and also happens to be open-source Python.
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 mode…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
One has no future if one couldn't teach themself.
Kubernetes community content
Free MLOps course from DataTalks.Club
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
PyTorch code and models for the DINOv2 self-supervised learning method.
Anthropic's educational courses
Notebooks and code for the book "Introduction to Machine Learning with Python"
this repository accompanies the book "Grokking Deep Learning"
A scikit-learn compatible neural network library that wraps PyTorch
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
TensorFlow Basic Tutorial Labs
Plain python implementations of basic machine learning algorithms