#autodiff (14 Repositories)
Ranked open-source repositories tagged with #autodiff, scored by pull request acceptance likelihood and maintainer engagement velocity.
41.9%
15.5h
14 repositories tagged #autodiff
kmolan/multicalc-rust
Scientific computing that fits on a microcontroller. Estimation, control, kinematics, Lie groups, calculus, autodiff and linear algebra in stable no_std Rust with no heap, no panics and no unsafe. Run the same code on your laptop and your Cortex-M0.
tracel-ai/burn
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
PennyLaneAI/catalyst
A JIT compiler for hybrid quantum programs in PennyLane
tsotchke/eshkol
High-Performance LISP-like language for Scientific Computing and AI written in C++
JuliaDiff/DifferentiationInterface.jl
An interface to various automatic differentiation backends in Julia.
born-ml/born
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
auto-differentiation/xad
Fast, easy automatic differentiation in C++
JuliaDecisionFocusedLearning/ImplicitDifferentiation.jl
Automatic differentiation of implicit functions
nabla-ml/nabla
Nabla: High-Performance Scientific Computing
autodiff/autodiff
automatic differentiation made easier for C++
leopard-ai/betty
Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
lawmurray/Birch
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
DiffSharp/DiffSharp
DiffSharp: Differentiable Functional Programming
chelsea0x3b/dfdx
Deep learning in Rust, with shape checked tensors and neural networks