MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Low-code framework for building custom LLMs, neural networks, and other AI models

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.

📹 Data-driven render automation for After Effects

🖥️ Automated Configuration, Preferences and Software Installation for macOS

💻☁📦 The Nextcloud VM (virtual machine appliance), Home/SME Server and scripts for RPi (4). Community developed and maintained.

Rap song writing recurrent neural network trained on Kanye West's entire discography

The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators

A Java Virtual Machine and Bytecode-to-IL Converter for .NET

🎰 A curated list of machine learning resources, preferably CoreML

A deep learning model for style-specific music generation.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Stent is combining the ideas of redux with the concept of state machines

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

[Book-2021] Practical MLOps O'Reilly Book

Machine learning movie recommending system

physical memory introspection framework

Elixir State machine thin layer for structs