1434 Open source projects that are alternatives of or similar to Parenchyma

A simple guide to x86 architecture, assembly, memory management, paging, segmentation, SMM, BIOS....

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

Efficient video analysis at scale

💿 CD Content ( Source Code ) Collection of Book <GPU Gems > 1~ 3 | 《GPU精粹》 1~ 3 随书CD（源代码）珍藏

Easy to use Timer/Stopwatch/Countdown library compatible with AMD, ES6 and Typescript

Monero (XMR) NVIDIA miner

MIVisionX toolkit is a comprehensive computer vision and machine intelligence libraries, utilities and applications bundled into a single toolkit.

This project is an old code for Chinese words split. It is written by CUDA at 2010, so it could not run well directly under you platform without an GPU card.

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

Vulkan Quake port based on QuakeSpasm

A tiny hardware-accelerated pixel frame buffer. 🦀

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Baking spline deformation to a texture then applying it to a mesh via a shader.

Utilities for CUDA programming

GameStream client for iOS/tvOS

A Simple Way of Creating Job Workflows in Go running in Processes, Containers, Tasks, Pods, or Jobs

Python module for performing basic dense linear algebra computations on the GPU using CUDA.

OpenHPC Integration, Packaging, and Test Repo

CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

Implementation of a simple CNN using CUDA

id Software's Quake 2 v3.21 with mission packs and Vulkan support (Windows, Linux, MacOS, FreeBSD, Raspberry Pi 4)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

The high-speed OpenAL, OpenGL, Vulkan, and GLFW bindings library your mother warned you about.

Task Manager for Linux for Nvidia graphics cards

An GPU/CUDA implementation of the Hungarian algorithm

Convert any classification model or architecture trained in keras to an object detection model

Compute Library for Deep Neural Networks (clDNN)

pocl - Portable Computing Language

An video camera,you can have realtime of a beautify,and change camera position,or turn on/off flash.Details see demo.

Send video/audio over HDMI on an FPGA

Fast, gpu-based CSV parser

QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization.

The Julia Programming Language

Intel CPU undervolting and throttling configuration tool

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Efficient reservoir sampling implementation for PyTorch

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

💆🏻 Frizz free, context-aware, JavaScript modules

DES cracking using brute force algorithm and CUDA

Official git repository of Elmer FEM software

Create graphs from your CommonJS, AMD or ES6 module dependencies

Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations

Library for specialized dense and sparse matrix operations, and deep learning primitives.

🔬 Collection of the Finnish Grid and Cloud Infrastructure Ansible playbooks

📊 Simple package for monitoring and control your NVIDIA Jetson [Xavier NX, Nano, AGX Xavier, TX1, TX2]

100% Vanilla Javascript Multithreading & Parallel Execution Library

[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

Introduction to Parallel Programming class code

A GPU implementation of Convolutional Neural Nets in C++

A Docker image for PyTorch

Run Tensorflow and Keras with GPU support on Kubernetes

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

pytorch memory track code

Intel HPC Containers using Singularity