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weed-loader

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

weed-loader-cpu

Minimalist AI/ML inference and backprogation in the style of Qrack

odtbrain

Python library for diffraction tomography with the Born and Rytov approximations

pyrddlgym-jax

pyRDDLGym-jax: automatic differentiation for solving sequential planning problems in JAX.

synapgrad

A lightweight autograd engine with a deep learning library and a Torch-like API

synapx

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

pileoffeather

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

npnet

Build neural networks based only on Numpy

dlfs

implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).

tonygrad

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

freegrad

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

symple

Simple Automatic Differentiation in Python

randomized-based-feedforward-neural-network

Pytorch implementation of a Randomized-Based FFNN

minitf

Simplified version of Tensorflow for learning purposes.

sympyle

Simple Automatic Differentiation in Python