There are 16 repositories under gpu-computing topic.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
High-performance TensorFlow library for quantitative finance.
Lingvo
GPGPU microprocessor architecture
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Fast Clojure Matrix Library
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
LuxCore source repository
Embedded language for high-performance array computations
TornadoVM: A practical and efficient heterogeneous programming framework for managed languages
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
😎 Curated list of awesome things around WebGPU ecosystem.
Particle-in-Cell Simulations for the Exascale Era :sparkles:
Thin, unified, C++-flavored wrappers for the CUDA APIs
Blender Integration for LuxCore
List of Deep Learning Cloud Providers
Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group
High-performance Bayesian Data Analysis on the GPU in Clojure
Vulkan compute for people
ClojureCL is a Clojure library for parallel computations with OpenCL.
Numerical linear algebra software package