#计算机科学#Source-to-Source Debuggable Derivatives in Pure Python
翻译 - 纯Python中的源到源可调试衍生物
#计算机科学#Deep learning in Rust, with shape checked tensors and neural networks
automatic differentiation made easier for C++
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
#大语言模型#End-to-end Generative Optimization for AI Agents
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.
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#Tensors and dynamic Neural Networks in Mojo