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15 search results found

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Tangent ⭐ 2,066

Source-to-Source Debuggable Derivatives in Pure Python

Deep learning in Rust, with shape checked tensors and neural networks

Diffsharp ⭐ 526

DiffSharp: Differentiable Functional Programming

Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

Drop-in autodiff for NumPy.

Infermo ⭐ 102

Tensors and dynamic Neural Networks in Mojo

Smallpebble ⭐ 87

Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

Easytorch ⭐ 75

基于Python的numpy实现的简易深度学习框架，包括自动求导、优化器、layer等的实现。

Exprgrad ⭐ 70

An experimental deep learning framework for Nim based on a differentiable array programming language

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

A toy deep learning framework implemented in pure Numpy from scratch. Aka homemade PyTorch lol.

New_grad ⭐ 18

A new lightweight auto-differentation library that directly builds on numpy. Used as a homework for CMU 11785/11685/11485.

Buildtensorflow ⭐ 17

A lightweight deep learning framework made with ❤️

Nablafuzz ⭐ 9

Fuzzing Automatic Differentiation in Deep-Learning Libraries (ICSE'23)

🌲 Ahead-of-time Static Macro-gen Automatic Differentiation. A little bit like Jax. Now in Beta

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