12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to develop, deploy and iterate on production-grade ML applications.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
💿 Free software that works great, and also happens to be open-source Python.
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.
This repository contains implementations and illustrative code to accompany DeepMind publications
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
llama3 implementation one matrix multiplication at a time
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
Foundational Models for State-of-the-Art Speech and Text Translation
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
From the basics to slightly more interesting applications of Tensorflow
links to conference publications in graph-based deep learning
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Quantitative analysis, strategies and backtests
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
Handout for the tutorial "Creating publication-quality figures with matplotlib"
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
CatBoost tutorials repository
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).