1518 Open source projects that are alternatives of or similar to Nnpack

A collection of algorithms and data structures

Base64 coding and decoding with SIMD instructions (SSE/AVX2/AVX512F/AVX512BW/AVX512VBMI/ARM Neon)

Free system monitor for OSX and macOS. See all system information at a glance in the menu bar.

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Fast and Easy Infinite Neural Networks in Python

Keras community contributions

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

mofuw is *MO*re *F*aster, *U*ltra minimal *W*ebserver.

Android library to display various debugging information in an overlay window

EdgeDB Python Driver

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

DaCe - Data Centric Parallel Programming

Node.js + ExpressJS + Joi + Typeorm + Typescript + JWT + ES2015 + Clustering + Tslint + Mocha + Chai

C++ Implementations of sketch data structures with SIMD Parallelism, including Python bindings

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph with all possible triples that OWL RL defines. It can be used together with RDFLib to expand an RDFLib Graph object, or as a stand alone service with its own serialization.

An Open Source Deep Learning Inference Engine Based on FPGA

Русскоязычный чатбот

🧵 Make web workers & worker threads as simple as a function call.

Open-source software for volunteer computing and grid computing.

Lock-free framework for loggers, tracers, and mockers in multithreaded C++ programs.

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

A small and customizable full-scale 32-bit RISC-V soft-core CPU and SoC written in platform-independent VHDL.

Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.

High-Performance Erlang StatsD Client

CNStream is a streaming framework for building Cambricon machine learning pipelines http://forum.cambricon.com https://gitee.com/SolutionSDK/CNStream

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

🏖TagEditor - Annotation tool for spaCy

SAFE: Self-Attentive Function Embeddings for binary similarity

End-To-End Molecular Dynamics (MD) Engine using PyTorch

A list of papers and other resources on deep learning with anime style images.

Fast decoder for VByte-compressed integers

DELTA is a deep learning based natural language and speech processing platform.

Race and ethnicity Imputation from Disease history with Deep LEarning

An asynchronous event driven PHP socket framework. Supports HTTP, Websocket, SSL and other custom protocols. PHP>=5.3.

A reproduction of growing neural cellular automata using PyTorch.

一些非常有趣的python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。(Some interesting examples of python crawlers that are friendly to beginners. )

A robot who learns how to draw

Distributed Deep learning with Keras & Spark

Wiki

Tars is a high-performance RPC framework based on name service and Tars protocol, also integrated administration platform, and implemented hosting-service via flexible schedule.

SIMD for humans

Portable games console, designed from scratch: CPU, graphics, PCB, and the kitchen sink

An R-focused pipeline toolkit for reproducibility and high-performance computing

C library to remove white space from strings as fast as possible

Nanolog is an extremely performant nanosecond scale logging system for C++ that exposes a simple printf-like API.

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

CEED Library: Code for Efficient Extensible Discretizations

RTree2D is a 2D immutable R-tree with STR (Sort-Tile-Recursive) packing for ultra-fast nearest and intersection queries

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

📝 Подборка ресурсов по машинному обучению

Code for "A-NICE-MC: Adversarial Training for MCMC"

PHP开发面向C10K+的高并发SOA服务 和RPC服务首选框架

A Python Library for Genetic Algorithm on OpenCL

SObjectizer: it's all about in-process message dispatching!

A fast, cross-platform micro web framework. A successor of Iris v8

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Awesome list of software that I use to do research in medical imaging.