Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation.
A PyTorch Library for Accelerating 3D Deep Learning Research
A BVH implementation to speed up raycasting and enable spatial queries against three.js meshes.
Massively parallel rigidbody physics simulation on accelerator hardware.
Making Protein folding accessible to all!
WebGL accelerated JavaScript molecular graphics library
A Swift micro library for generating Sunrise and Sunset times on device, requiring no network access.
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.
A Python interface to access neuroanatomical atlases
Simple Features is a pure Go Implementation of the OpenGIS Simple Feature Access Specification
Scientific computing in pure Crystal
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Data Access Client for Global Surface Summary of the Day (GSOD) Weather Written in R
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A simple ffi-accelerated vector library for everyone
OpenCL based GPU accelerated SPH fluid simulation library
A simple ffi-accelerated vector library for everyone with support for z-axis
Accelerated similarity searching of small molecules (bioconductor package)