Gpu Computing
Showing 36 of 116 projects
A Clojure library for parallel computations using OpenCL 2.0 with fast JNI bindings.
A differentiable cosmology library built with JAX for automatic differentiation of cosmological calculations.
A Python toolbox for solving optimal transport problems with JAX-powered computational efficiency.
CUDA backend implementation for Torch's neural network package, enabling GPU acceleration for deep learning models.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, running on CPU, GPU, and TPU.
A Clojure library for GPU-accelerated computing using NVIDIA CUDA, enabling high-performance parallel processing.
A BOINC-based distributed password cracking system powered by hashcat, enabling recovery of passwords from encrypted media and hashes across GPU-equipped nodes.
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.
A GPGPU engine for C++ that executes SPIR-V compute shaders using Vulkan, similar to OpenCL but with a more abstract interface.
A symbolic programming library built on JAX for concise, explicit, and optimized machine learning computations.
A Swift kernel for Google Colaboratory that enables Swift programming in the browser with GPU support for machine learning.
A flexible deep learning framework for Ruby, ported from Python's Chainer.
An interactive Swift playground demonstrating Metal compute kernels for fractal visualization.
A collection of Jupyter notebooks for learning the neon deep learning framework through hands-on tutorials.
A Python program to monitor ARM CPU and GPU temperature on Raspberry Pi with logging, alarms, graphing, and notifications.
A library of reusable CUDA C++ software components for parallel algorithms like sorting, prefix scan, reduction, and histogram.
A Python tool that automates the provisioning of AWS p3 GPU instances via Terraform for high-speed password cracking with Hashcat.
A learning-focused, high-performance tensor computation library built from scratch in Rust with automatic differentiation and CPU/CUDA backends.
Pure Go FFI for calling C libraries without CGO, designed for WebGPU and GPU computing with zero per-call allocations.
A differentiable hydrodynamics and magnetohydrodynamics code for astrophysics built with JAX, enabling gradient-based inverse modeling and multi-GPU simulations.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX, designed as a drop-in replacement for SciPy's curve_fit.
A Common Lisp library providing vector, matrix, and quaternion math functions for real-time graphics and game development.
An efficient arrayed vector math library for Common Lisp with multi-threading and CUDA support.
An OpenCL-based GPU-accelerated library for SPH fluid simulations, designed for animation, CGI, and games.
Composable kernels for scikit-learn implemented in JAX, enabling faster kernel computations and automatic differentiation.
A JAX-based library for coreset algorithms that reduce large datasets to smaller representative subsets while preserving statistical properties.
A Python library for accelerated fluid-structure interaction simulations using the immersed boundary lattice Boltzmann method, powered by JAX.
A sovereign GPU-native reference implementation for W3C PM-KR, storing knowledge once as executable procedures consumable by both humans and AI.
A Docker-based starter kit providing pre-configured Jupyter notebook environments for machine learning with TensorFlow, PyTorch, and essential libraries.
A JAX/Flax implementation of the Fréchet Inception Distance (FID) metric for evaluating generative models.
A minimal WebGPU library for rendering and compute operations, built with a focus on simplicity and performance.
A library of WebGPU support functions for modularization, debugging, testing, and resource management.
An Ada binding for the OpenCL host API, enabling OpenCL host programming in Ada.
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