Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
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Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
- robotics
- dynamics
- analytical-derivatives
- kinematics
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
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
- optimal-control
- model-predictive-control
- ilqr
- ilqg
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Development tool for CAN bus simulation
- automotive
- can
- can-bus
- genivi
Cosette is an automated SQL solver.
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
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
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
- cae
- cfd
- computational-mechanics
- explicit-dynamics
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
- asam
- osi
- open-simulation-interface
- simulation
Solve automatic numerical differentiation problems in one or more variables.
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.
- matlab
- rust
- jit-compiler
- linear-algebra
CoqHammer: An Automated Reasoning Hammer Tool for Rocq - Proof Automation for Dependent Type Theory
- coq
- hammer
- automation
- proof-search