221 results for “topic:autodiff”
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Source-to-Source Debuggable Derivatives in Pure Python
automatic differentiation made easier for C++
Deep learning in Rust, with shape checked tensors and neural networks
End-to-end Generative Optimization for AI Agents
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
DiffSharp: Differentiable Functional Programming
No description provided.
Assignment 1: automatic differentiation
Fast, easy automatic differentiation in C++
AutoBound automatically computes upper and lower bounds on functions.
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
Nabla: High-Performance Scientific Computing
An interface to various automatic differentiation backends in Julia.
Drop-in autodiff for NumPy.
A JIT compiler for hybrid quantum programs in PennyLane
Autodifferentiation package in Rust.
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp
Automatic differentiation of implicit functions
A minimalist deep learning library written from scratch in Python
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
An experimental deep learning framework for Nim based on a differentiable array programming language
Solve ODEs fast, with support for PyMC
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Automatic differentiation + optimization
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
High-Performance LISP-like language for Scientific Computing and AI written in C++
Geometry processing utilities compatible with jax for autodifferentiation.
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
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。