Showing 1-20 of 21 projects
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
Video stabilization tool using gyroscope data, built with the Rust programming language.
High-performance TensorFlow library for quantitative finance applications.
A C++ parallel algorithms library that provides high-performance GPU acceleration for scientific computing and data analysis.
A high-performance GPU-accelerated fluid dynamics simulation library for scientific computing and visualization.
Resource scheduling and cluster management for AI workloads on Kubernetes and other platforms.
Blazing-fast GPU compute framework built on Vulkan for advanced data processing use cases.
NVIDIA's CUDA Core Compute Libraries for accelerated computing and GPU programming in C++
A GPGPU microprocessor architecture designed for hardware acceleration of graphics and parallel computing.
A textbook on parallel computing and scientific machine learning methods and applications
Deep learning library for Rust with shape-checked tensors and neural networks
A curated list of awesome things around the WebGPU ecosystem for GPU-accelerated web development.
A community-driven C++ compiler for heterogeneous programming models like SYCL, C++ parallelism, and CUDA/HIP.
A GPGPU library for Rust that enables write-once-run-anywhere GPU acceleration.
TornadoVM is a heterogeneous programming framework that enables developers to leverage GPUs and other accelerators for improved performance in Java applications.
An efficient C++20 GPU numerical computing library with Python-like syntax for high-performance computing.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
LuxCore is a high-performance path-tracing render engine for realistic 3D graphics and visualization.
A high-performance GPU-powered library for fluid simulation, softbody dynamics, and other visual effects in Java/Processing.
An efficient, STL-like data structure library for GPU acceleration in C++.
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