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National University of Singapore
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PlayStation 4 emulator for Windows, Linux and macOS written in C++
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
lightweight, standalone C++ inference engine for Google's Gemma models.
header only, dependency-free deep learning framework in C++14
mlpack: a fast, header-only C++ machine learning library
A beautiful stack trace pretty printer for C++
Public development project of the LAMMPS MD software package
GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…
stdgpu: Efficient STL-like Data Structures on the GPU
UNMAINTAINED: Examples of using the LLVM and Clang compilation libraries and tools
Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.
NVIDIA / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, con…
A hardware acceleration library for compute intensive cryptography 🧊
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
BLOCKBENCH: A Framework for Analyzing Private Blockchains. Blockbench contains workloads for measuring the data processing performance, and workloads for understanding the performance of different …
Enclave ready EVM (eEVM) is an open-source, standalone, embeddable, C++ implementation of the Ethereum Virtual Machine.
Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
pmgysel / caffe
Forked from BVLC/caffeRistretto: Quantization and compression of large AI models. Author: Philipp Gysel.
Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics (LULESH)