autodiff

#计算机科学#burn 是一个Rust的深度学习框架

#计算机科学#Source-to-Source Debuggable Derivatives in Pure Python

#计算机科学#Deep learning in Rust, with shape checked tensors and neural networks

automatic differentiation made easier for C++

#大语言模型#End-to-end Generative Optimization for AI Agents

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

#计算机科学#DiffSharp: Differentiable Functional Programming

Assignment 1: automatic differentiation

AutoBound automatically computes upper and lower bounds on functions.

#计算机科学#Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization

#计算机科学#An interface to various automatic differentiation backends in Julia.

#计算机科学#Drop-in autodiff for NumPy.

#计算机科学#Autodifferentiation package in Rust.

A JIT compiler for hybrid quantum programs in PennyLane

[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp

#计算机科学#Automatic differentiation of implicit functions

#计算机科学#Small deep learning library written from scratch in Python, using NumPy/CuPy.

#计算机科学#Tensors and dynamic Neural Networks in Mojo

#计算机科学#An experimental deep learning framework for Nim based on a differentiable array programming language