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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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Efficiently computes derivatives of NumPy code.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
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.
Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.
Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.
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
MLBox is a powerful Automated Machine Learning python library.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
Development tool for CAN bus simulation
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Automated image compression for efficiently distributing images on the web.
Automated Attack Simulation in the Cloud, complete with detection use cases.
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
In-browser falling-sand simulation game with over 500 elements and thousands of reactions.
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.
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
Maze Applied Reinforcement Learning Framework
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.
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.
Automated 3D cell detection in very large images