A curated list of awesome Machine Learning frameworks, libraries and software.

Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Jupyter metapackage for installation and documentation

Create web-based user interfaces with Python. The nice way.

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

Python bindings for llama.cpp

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Examples in the MLX framework

Minimal, clean example of lstm neural network training in python, for learning purposes.

An extremely fast implementation of whisper optimized for Apple Silicon using MLX.

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured…

Implementation of F5-TTS in MLX

Prompt Declaration Language (PDL) is a declarative prompt programming language.

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

Write browser apps entirely in Python

A declarative way to control LLMs.

Converts an input Step file into .Json files with functions borrowed from pythonOCC

A minimal implementation of NTM with detailed explanation

A framework for time-series analysis and features extraction / visualization.

Repository for the "Nabla Approprions-nous-l'IA" channel: