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.
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
A Rust library for random number generation.
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
>99.5% KaTeX syntax coverage. LaTeX math renderer in pure Rust. No JavaScript, no WebView, no DOM. One Rust core → iOS, Android, Flutter, Web, PNG. C ABI · WASM · Server-side PNG/SVG.
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
A Rust port of NVIDIA's SMLib B-rep kernel (CAD subset): safe, deterministic, wasm-compatible
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.
A high-performance engine for matrix math, physics simulation, and MCAD and ECAD as code. RunMat checks types, sizes and units before anything runs, executes on CPU and GPU, and runs existing MATLAB-language code as written.
Probabilistic cell segmentation for in situ spatial transcriptomics
Syre workspace.