Backpropagation Python Packages

weed-loader-cpu

Weed (Loader) - Minimalist AI/ML inference and backprogation

odtbrain

Algorithms for diffraction tomography

weed-loader

Weed (Loader) - Minimalist AI/ML inference and backprogation

pyrddlgym-jax

JAX compilation of RDDL description files, and a differentiable planner in JAX.

npnet

Build neural networks based only on Numpy

synapx

A deep learning library powered by a C++ autograd engine, featuring a PyTorch-like API and cross-platform support.

synapgrad

Lightweight autograd engine with a deep learning library and a Torch-like API, built from scratch.

tonygrad

A tiny scalar-valued autograd engine with a small PyTorch-like neural network library on top.

dlfs

Implementation from scratch (using numpy arrays) of a framework based on keras interface which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

randomized-based-feedforward-neural-network

Pytorch implementation of a Randomized-Based FFNN

pileoffeather

Lightweight and easy to use ml library for small projects, create a neural network in minutes.

freegrad

PyTorch extension for alternative backward rules and gradient transforms (STE, gradient jamming, non-standard activations).

symple

Automatic differentiation in python

minitf

Simplified version of Tensorflow for learning purposes.

sympyle

Automatic differentiation in python