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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.
A collection of various deep learning architectures, models, and tips
Data and code behind the articles and graphics at FiveThirtyEight
12 Weeks, 24 Lessons, IoT for All!
FinRL®: Financial Reinforcement Learning. 🔥
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Kolmogorov Arnold Networks
:satellite: Simple and ready-to-use tutorials for TensorFlow
Companion webpage to the book "Mathematics For Machine Learning"
stable diffusion webui colab
StableLM: Stability AI Language Models
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
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
Your new Mentor for Data Science E-Learning.
This repository contains the source code for the paper First Order Motion Model for Image Animation
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Learn ML engineering for free in 4 months! Register here 👇🏼
Natural Language Processing Tutorial for Deep Learning Researchers
A multi-voice TTS system trained with an emphasis on quality
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.