Tensors and dynamic Neural Networks in Mojo
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Updated
Jul 21, 2024 - Mojo
Tensors and dynamic Neural Networks in Mojo
A tiny deep learning library written in Java
A Lightweight Deep Neural Network Library only using NumPy that offers Pytorch-like API
Auto Propagation System for Complex Neural Networks of Luma Python library
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.
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.
numpy written in python from scratch
An autograd engine built for my understanding
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