Explore Projects
Discover 27 open source projects
Showing 1-20 of 27 projects
myspaghetti/macos-virtualbox
Automated installer for macOS guests in Virtualbox on x86 CPUs
openwall/john
Advanced offline password cracker supporting hundreds of hash and cipher types across multiple platforms
catboost/catboost
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
ProjectPhysX/FluidX3D
A high-performance GPU-accelerated fluid dynamics simulation library for scientific computing and visualization.
openxla/xla
A machine learning compiler for GPUs, CPUs, and ML accelerators, useful for building AI-powered applications.
nalepae/pandarallel
A parallel processing library for Pandas that improves performance on multi-core CPUs.
grosser/parallel_tests
Parallel Tests is a Ruby library that speeds up your test suite by running tests in parallel across multiple CPUs.
dendibakh/perf-book
A book on performance analysis and tuning on modern CPUs for developers interested in optimizing their code.
neuralmagic/deepsparse
A sparsity-aware deep learning inference runtime for CPUs, optimized for performance and efficiency.
ARM-software/ComputeLibrary
A computer vision and machine learning library optimized for Arm CPUs and GPUs using SIMD technologies.
TheTumultuousUnicornOfDarkness/CPU-X
An open-source system information tool that provides detailed hardware details for CPUs, motherboards, and more.
xoreaxeaxeax/rosenbridge
This is a hardware backdoor research project for x86 CPUs, not a developer discovery platform focused on vibe coders.
rupeshs/fastsdcpu
Fast stable diffusion on CPU and AI PC, a Python library for running Stable Diffusion models efficiently on CPUs.
larsbrinkhoff/awesome-cpus
A comprehensive collection of CPU and MCU documentation for various architectures and platforms.
AdaptiveCpp/AdaptiveCpp
A community-driven C++ compiler for heterogeneous programming models like SYCL, C++ parallelism, and CUDA/HIP.
Maratyszcza/NNPACK
Highly optimized library for accelerating neural network inference on multi-core CPUs
georgewhewell/undervolt
A Python library for undervolting Intel CPUs on Linux, allowing developers to optimize power and thermal performance.
Xtra-Computing/thundersvm
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
pytorch/FBGEMM
A high-performance GEMM library for deep learning inference on CPUs, developed by Facebook.
GPUOpen-Tools/compressonator
A tool suite for texture and 3D model compression, optimization, and analysis using CPUs, GPUs, and APUs.
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