A tiny deep learning library written in Java
High-performance Machine Learning, Dynamic Auto-Differentiation and Tensor Algebra crate for Rust
A Lightweight Deep Neural Network Library only using NumPy that offers Pytorch-like API
DeepTensor: A minimal PyTorch-like deep learning library focused on custom autograd and efficient tensor operations.
A TypeScript implementation of an autograd engine for educational purposes.
A small autograd engine with backpropagation (reverse-mode autodiff) over a dynamically built directed acyclic graph (DAG) and a small neural networks library on top of it following a PyTorch-like API.
Noise2Noise is an AI denoiser trained with noisy images only. We implemented a ligther version which trains faster on smaller pictures without losing performance and an even simpler one where every low-level component was implemented from scratch, including a reimplementation of autograd.
Auto Propagation System for Complex Neural Networks of Luma Python library
numpy written in python from scratch
A minimal scalar-valued autograd engine and neural network library inspired by Andrej Karpathy's backpropagation lecture.
An autograd engine built for my understanding
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