🦠 AD in less than 20 lines
The tiniest possible autograd engine.
Inspired by micrograd and nanograd.
A Python toolbox for performing gradient-free optimization
Efficiently computes derivatives of NumPy code.
Generate images from texts. In Russian
A Python package for building Bayesian models with TensorFlow or PyTorch
phgrad - Cause there are not enough unusable autograd libraries in python
You like pytorch? You like micrograd? You love tinygrad! ❤️
An unnecessarily tiny implementation of GPT-2 in NumPy.
Simple python based app/script using DALL-E
Implementation of different ML Algorithms from scratch, written in Python 3.x
Baby deep learning library🐣
Automatically exported from code.google.com/p/thebigpicture
Machine Learning Course with Python:
This repository helps you understand python from the scratch.
A miniscule implementation of reverse mode auto-differentiation
