Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
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Gorgonia is a library that helps facilitate machine learning in Go.
- machine-learning
- artificial-intelligence
- neural-network
- computation-graph
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
- robotics
- dynamics
- analytical-derivatives
- kinematics
Math.NET Numerics
- math
- numerics
- linear-algebra
- fsharp
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
- optimization
- nonlinear
- derivatives
- code-generation
automatic differentiation made easier for C++
- automatic-differentiation
- auto-differentiation
- autodiff
- autodifferentiation
Self-contained Machine Learning and Natural Language Processing library in Go
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
- optimal-control
- model-predictive-control
- ilqr
- ilqg
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
A JavaScript library like PyTorch, with GPU acceleration.
- automatic-differentiation
- deep-learning
- javascript-library
- neural-networks
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
- csharp
- algebra
- integration
- latex
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
- automatic-differentiation
- aad
- algorithmic-differentiation
- autodiff
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
- trajectory-optimization
- differential-dynamic-programming
- theano
- dynamics-models
Solve automatic numerical differentiation problems in one or more variables.
A simple cross platform .NET API for Intel MKL
- mkl
- cross-platform
- matrix
- linear-algebra
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
- mathematical-modelling
- automatic-differentiation
- mathematics
- math
A simple to use log system, minimalist but with features for debugging and differentiation of messages