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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Course Files for Complete Python 3 Bootcamp Course on Udemy
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
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…
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Your new Mentor for Data Science E-Learning.
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Official inference library for Mistral models
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Best Practices, code samples, and documentation for Computer Vision.
A collection of pre-trained, state-of-the-art models in the ONNX format
Automatic extraction of relevant features from time series:
My blogs and code for machine learning. http://cnblogs.com/pinard
The "Python Machine Learning (2nd edition)" book code repository and info resource
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
An adversarial example library for constructing attacks, building defenses, and benchmarking both
The Udacity open source self-driving car project