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…

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

scikit-learn: machine learning in Python

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.