Opencl
Showing 36 of 38 projects
Real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
A real-time collision detection and multi-physics simulation SDK for VR, games, robotics, and machine learning.
An advanced offline password cracker supporting hundreds of hash and cipher types across multiple platforms.
An open-source Go engine that replicates AlphaGo Zero's architecture, learning solely through self-play without human knowledge.
An open-source machine learning framework for building classical, deep, or hybrid ML applications with a focus on performance and portability.
A lightweight Java library providing cross-platform, high-performance bindings to native APIs for graphics, audio, parallel computing, and XR.
High-speed .NET bindings for OpenGL, Vulkan, DirectX, and other multimedia, graphics, and compute APIs.
A general-purpose tensor library for parallel computing across CPUs, GPUs, and hardware accelerators.
A conformant OpenGL ES implementation that translates OpenGL ES API calls to Vulkan, Direct3D, Metal, and other native graphics APIs.
A fast, low-level C# binding for OpenGL, OpenAL, and OpenCL with cross-platform windowing, input, and math libraries.
A high-performance GPU-accelerated Fast Fourier Transform library supporting Vulkan, CUDA, HIP, OpenCL, Level Zero, and Metal backends.
A JIT compiler for writing high-performance GPU programs in .NET languages like C#, offering CUDA-level performance with C# convenience.
A C++ GPU computing library providing an STL-like interface for OpenCL-based parallel programming.
A Java deep learning framework implementing neural networks with GPU acceleration via OpenCL and Aparapi.
A cross-platform, professional procedural terrain generation and texturing tool for creating realistic 3D landscapes.
A high-performance Clojure library for matrix and linear algebra computations using optimized BLAS/LAPACK routines on CPU and GPU.
A comprehensive GPU tool suite for debugging, profiling, and analyzing OpenCL, OpenGL, Vulkan, and DirectX kernels and shaders.
An open-source GPU-accelerated password cracking tool for BitLocker-encrypted storage devices using dictionary attacks.
A header-only C++ library for solving large sparse linear systems using algebraic multigrid (AMG) method with support for GPU acceleration.
Rust bindings for ArrayFire, a high-performance parallel computing library with support for CUDA, OpenCL, and CPU backends.
A C++ vector expression template library for OpenCL, CUDA, and OpenMP that simplifies GPGPU development.
A compiler that transforms OpenCL C code into Vulkan compute shaders, enabling GPU compute on Vulkan platforms.
A standalone reimplementation of TensorFlow for Ruby, supporting pure Ruby and OpenCL backends for machine learning.
An extensible Rust framework for backend-agnostic, high-performance parallel computations on CUDA, OpenCL, and CPU.
A framework for executing native Java and Scala code on the GPU via OpenCL for data-parallel computation.
A source-to-source compiler that uses Lisp macros for meta programming of C, C++, CUDA, GLSL, and OpenCL.
A Pascal-based deep learning neural network API optimized for AVX/AVX2/AVX512 and OpenCL, supporting AMD, Intel, and NVIDIA hardware.
A C++ template library optimized for GPUs providing high-performance implementations of common algorithms like scan, reduce, transform, and sort.
A Clojure library for high-performance Bayesian data analysis and machine learning on the GPU.
A C++20 cross-platform demo framework for graphics and compute APIs like Vulkan, OpenGL ES, OpenVX, OpenCL, OpenVG, and OpenCV.
A Clojure library for parallel computations using OpenCL 2.0 with fast JNI bindings.
A core scientific computing library for Crystal providing n-dimensional tensors, linear algebra, GPU acceleration, and automatic differentiation.
Dockerized hashcat with multiple backends (CUDA, OpenCL, POCL) for GPU-accelerated password recovery and hash cracking.
A PPX-based DSL for writing GPU kernels in OCaml syntax that compiles to multiple backends (CUDA, OpenCL, Vulkan, Metal).
A set of libraries enabling native execution of D code on GPUs and other accelerators via OpenCL and CUDA runtimes.
Open-source software for deep learning-based analysis and visualization of whole slide images in digital pathology.
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