This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Machine learning lessons and teaching projects designed for engineers

Python code for common Machine Learning Algorithms

Code for the Make Your Own Neural Network book

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

The "Python Machine Learning (1st edition)" book code repository and info resource

Notebooks and code for the book "Introduction to Machine Learning with Python"

Machine Learning algorithm implementations from scratch.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Minimal and clean examples of machine learning algorithms implementations

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

Kyutai's Speech-To-Text and Text-To-Speech models based on the Delayed Streams Modeling framework.

An advanced singing voice synthesis system with high fidelity, expressiveness, controllability and flexibility based on DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

21 Lessons, Get Started Building with Generative AI