#neural-network

Laplace approximations for Deep Learning.

SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries

A Data Streaming Library for Efficient Neural Network Training

High-performance quantitative finance in Rust — 120+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration and Python bindings.

Rust bindings for the C++ api of PyTorch.

OxiZ is a high-performance Satisfiability Modulo Theories (SMT) solver written entirely in Rust. This project is part of an initiative to reimplement Z3 in Pure Rust. Pure Rust is a fundamental requirement - no C/C++ dependencies, no FFI bindings, just clean, safe Rust code.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

The fastest .NET tensor library. Beats MathNet (6x), NumSharp (3200x), matches TorchSharp CPU - pure managed C# with hand-tuned AVX2/FMA SIMD kernels. Optional CUDA/OpenCL GPU acceleration.

swarmdo — self-contained AI agent orchestration for Claude Code (swarmdo.com)

Deep Learning framework in Go with Tensors, AutoGrad, and GPU acceleration

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!