166 Resources
C/C++ deep-neural-networks Libraries
SHARK - High Performance Machine Learning for CPUs, GPUs, Accelerators and Heterogeneous Clusters
SHARK Communication Channels GitHub issues: Feature requests, bugs etc Nod.ai SHARK Discord server: Real time discussions with the nod.ai team and oth
A c++ neural simulation based off of david miller's biosim4
NEURALSIM A C++ neural evolution simulator This program simulates neural evolution over generations through the goal of survival. Please Note: This wa
The Synapse neural networking engine rewritten in C++
This is an open-source rewrite of Synapse, the closed-source neural networking engine for C++ This project is a work-in-progress. Code is subject to c
ML++ - A library created to revitalize C++ as a machine learning front end
ML++ Machine learning is a vast and exiciting discipline, garnering attention from specialists of many fields. Unfortunately, for C++ programmers and
The dgSPARSE Library (Deep Graph Sparse Library) is a high performance library for sparse kernel acceleration on GPUs based on CUDA.
dgSPARSE Library Introdution The dgSPARSE Library (Deep Graph Sparse Library) is a high performance library for sparse kernel acceleration on GPUs bas
CARLA is an open-source simulator for autonomous driving research.
CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems.
A software C library designed to extract data attributes from network packets, server logs, and from structured events in general, in order to make them available for analysis
MMT-DPI A software C library desinged to extract data attributes from network packets, server logs, and from structured events in general, in odrder t
A pytorch implementation of instant-ngp, as described in Instant Neural Graphics Primitives with a Multiresolution Hash Encoding.
torch-ngp A pytorch implementation of instant-ngp, as described in Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. Note: This
Multi-Scale Representation Learning on Proteins
Multi-Scale Representation Learning on Proteins (Under Construction and Subject to Change) Pending: Update links for dataset. This is the official PyT
C++ NN 🧠 A simple Neural Network library written in C++
C++ NN 🧠 A simple Neural Network library written in C++ Installation 🚀
Deep Learning for Max
Deep Learning for Max you will need min-devkit. requirements make sure that you have libtorch installed, and that CMake can find it. install clone thi
Command line C++ and Python VSTi Host library with MFCC, FFT, RMS and audio extraction and .wav writing.
______ _ ___ ___ | ___ \ | | | \/ | | |_/ /___ _ __ __| | ___ _ __| . . | __ _ _ __
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
The Microsoft Cognitive Toolkit is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph.
Eclipse Deeplearning4J (DL4J) ecosystem is a set of projects intended to support all the needs of a JVM based deep learning application
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Source code now lives in the PyTorch repository. Caffe2 Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the origin
On-device wake word detection powered by deep learning.
Porcupine Made in Vancouver, Canada by Picovoice Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening
Computer Networks, [email protected], taught by Hong Xu
CSCI4430, Computer Networks (Spring 2022) Administrivia Schedule Lectures: Mon 12:30pm -- 2:15pm, ERB LT (Zoom link) Tue 4:30pm -- 5:15pm, ERB LT (Zoo
multi-shot continuations in OCaml
Multicont: Continuations with multi-shot semantics in OCaml This library provides a thin abstraction on top of OCaml's regular linear continuations th
A small and easy to use neural net implementation for C++. Just download and #include!
NN++ A short, self-contained, and easy-to-use neural net implementation for C++. It includes the neural net implementation and a Matrix class for basi
QuantumGate is a peer-to-peer (P2P) communications protocol, library and API written in C++.
About QuantumGate is a peer-to-peer (P2P) communications protocol, library and API. The long-term goal for QuantumGate is to become a platform for dis
CubbyDNN - Deep learning framework using C++17 in a single header file
CubbyDNN CubbyDNN is C++17 implementation of deep learning. It is suitable for deep learning on limited computational resource, embedded systems and I
TinNet - A compact C++17 based deep learning library.
[email protected] A compact DNN library. Build This project uses Bazel as a build system(1.0 or above required) and compiles with Clang(NOT required, automatic
Plaidml - PlaidML is a framework for making deep learning work everywhere.
A platform for making deep learning work everywhere. Documentation | Installation Instructions | Building PlaidML | Contributing | Troubleshooting | R
EOgmaNeo is Ogma Corp's embedded and event based version of OgmaNeo
EOgmaNeo is Ogma Corp's embedded and event based version of OgmaNeo
Dataset Synthesizer - NVIDIA Deep learning Dataset Synthesizer (NDDS)
NVIDIA Deep learning Dataset Synthesizer (NDDS) Overview NDDS is a UE4 plugin from NVIDIA to empower computer vision researchers to export high-qualit
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices.
Pose-tensorflow - Human Pose estimation with TensorFlow framework
Human Pose Estimation with TensorFlow Here you can find the implementation of the Human Body Pose Estimation algorithm, presented in the DeeperCut and
CoDi is a cellular automaton model for spiking neural networks
CoDi CoDi is a cellular automaton (CA) model for spiking neural networks (SNNs). CoDi is an acronym for Collect and Distribute, referring to the signa
Cranium - 🤖 A portable, header-only, artificial neural network library written in C99
Cranium is a portable, header-only, feedforward artificial neural network library written in vanilla C99. It supports fully-connected networks of arbi
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
TensorRT Open Source Software This repository contains the Open Source Software (OSS) components of NVIDIA TensorRT. Included are the sources for Tens
Xerus - A general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Product States and other Tensor Networks
About The xerus library is a general purpose library for numerical calculations with higher order tensors, Tensor-Train Decompositions / Matrix Produc
Tandem - [CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
![Tandem - [CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo](https://github.com/tum-vision/tandem/raw/master/assets/tandem_poster.jpg)
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo Lukas Koestler1* Nan Yang1,2*,† Niclas Zeller2,3 Daniel Cremers1
LibtorchSegmentation - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
English | 中文 C++ library with Neural Networks for Image Segmentation based on LibTorch. ⭐ Please give a star if this project helps you. ⭐ The main fea
Open-L2O - A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
Open-L2O This repository establishes the first comprehensive benchmark efforts of existing learning to optimize (L2O) approaches on a number of proble
DeepI2P - Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
#DeepI2P: Image-to-Point Cloud Registration via Deep Classification Summary Video PyTorch implementation for our CVPR 2021 paper DeepI2P. DeepI2P solv
Adorad - Fast, Expressive, & High-Performance Programming Language for those who dare
The Adorad Language Adorad | Documentation | Contributing | Compiler design Key Features of Adorad Simplicity: the language can be learned in less tha
DarkHelp - C++ wrapper library for Darknet
What is the DarkHelp C++ API? The DarkHelp C++ API is a wrapper to make it easier to use the Darknet neural network framework within a C++ application
Mmdeploy - OpenMMLab Model Deployment Framework
Introduction English | 简体中文 MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Major features F
Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, ncnn, MNN, SNPE, Arm NN, NNAbla
InferenceHelper This is a helper class for deep learning frameworks especially for inference This class provides an interface to use various deep lear
The repository contains some examples of pre-trained SNN (Spiking Neural Network) models.
About the Project The repository contains some examples of pre-trained SNN (Spiking Neural Network) models. The models were trained using the MM-BP tr
ORB-SLAM3-Monodepth is an extended version of ORB-SLAM3 that utilizes a deep monocular depth estimation network
ORB_SLAM3_Monodepth Introduction This repository was forked from [ORB-SLAM3] (https://github.com/UZ-SLAMLab/ORB_SLAM3). ORB-SLAM3-Monodepth is an exte
tutorial on how to train deep learning models with c++ and dlib.
Dlib Deep Learning tutorial on how to train deep learning models with c++ and dlib. usage git clone https://github.com/davisking/dlib.git mkdir build
YoloX for a bare Raspberry Pi 4 using ncnn.
YoloX Raspberry Pi 4 YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a bare Raspberry Pi 4, see Q-engineer
With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
With deep learning to neuroscience world with shield for jetson nano - JNEEG (In progress)
YoloX for a Jetson Nano 4 using ncnn.
YoloX Jetson Nano YoloX with the ncnn framework. Paper: https://arxiv.org/pdf/2107.08430.pdf Special made for a Jetson Nano, see Q-engineering deep le
The purpose of this project is to apply mediapipe to more AI chips.
1.About This Project Our Official Website: www.houmo.ai Who We Are: We are Houmo - A Great AI Company. We wish to change the world with unlimited comp
Open Source Computer Vision Library
OpenCV: Open Source Computer Vision Library Resources Homepage: https://opencv.org Courses: https://opencv.org/courses Docs: https://docs.opencv.org/m
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Project DeepSpeech DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Spee
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ncnn ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployme
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Welcome to AirSim AirSim is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open
Open standard for machine learning interoperability
Open Neural Network Exchange (ONNX) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides
Turi Create simplifies the development of custom machine learning models.
Quick Links: Installation | Documentation Turi Create Turi Create simplifies the development of custom machine learning models. You don't have to be a
Optimized & Generic ML Filter Runtimes for VapourSynth (with builtin support for waifu2x, RealESRGANv2 & DPIR)
vs-mlrt VapourSynth ML filter runtimes. Please see the wiki for supported models. vsov: OpenVINO-based Pure CPU Runtime OpenVINO is an AI inference ru
A Tool for Verifying Neural Networks using SMT-Based Model Checking
Project Title QNNVerifier Description A Tool for Verifying Neural Networks using SMT-Based Model Checking. Using Frama-C and ESBMC as the backends. Yo
A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.
iNeural A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms. What is a Neural Network? Work on
IBM Z Deep Neural Network Library (zDNN) provides an interface for applications making use of Neural Network Processing Assist Facility (NNPA).
zDNN API Reference Contacts Nicholas Marion ([email protected]) Andreas Krebbel ([email protected]) Version 0.4.0 Table of Contents Overview Envi
An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit
DREAMPlaceFPGA An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. This work leverages the open-source A
Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search (ncnn) The official implementation by pytorch: ht
Efficient training of deep recommenders on cloud.
HybridBackend Introduction HybridBackend is a training framework for deep recommenders which bridges the gap between evolving cloud infrastructure and
C++14 network/graph visualization library / Qt node editor.
QuickQanava QuickQanava is a C++14 library designed to display graphs and relational content in a Qt/QML application. QuickQanava provide QML componen
Standalone c++ implementation for computing Motif Adjacency Matrices of large directed networks, for 3-node graphlets and 4-node graphletsa containing a 4 edge loop.
Building Motif Adjacency Matrices This is an efficient C++ software for building Motif Adjacency Matrices (MAM) of networks, for a range of motifs/gra
Simple inference deep head pose ncnn version
ncnn-deep-head-pose Simple implement inference deep head pose ncnn version with high performance and optimized resource. This project based on deep-he
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
Codebase for "SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems"
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
![[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors](https://github.com/JingwenWang95/DSP-SLAM/raw/master/figures/teaser.png)
DSP-SLAM Project Page | Video | Paper This repository contains code for DSP-SLAM, an object-oriented SLAM system that builds a rich and accurate joint
Deep Puzzling: Binary code intention hiding based on AI uninterpretability
Deep Puzzling: Binary code intention hiding based on AI uninterpretability Deep Puzzling is an AI-based framework for concealing attack intentions and
Parallel library for approximate inference on discrete Bayesian networks
baylib C++ library Baylib is a parallel inference library for discrete Bayesian networks supporting approximate inference algorithms both in CPU and G
ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation - SIGGRAPH 2021
ManipNet: Neural Manipulation Synthesis with a Hand-Object Spatial Representation - SIGGRAPH 2021 Dataset Code Demos Authors: He Zhang, Yuting Ye, Tak
YOLOX + ROS2 object detection package
YOLOX-ROS YOLOX+ROS2 Foxy Supported List Base ROS1 C++ ROS1 Python ROS2 C++ ROS2 Python CPU ✅ CUDA ✅ CUDA (FP16) ✅ TensorRT (CUDA) ✅ OpenVINO ✅ MegEng
Using image classification with ConvMixer
Japanese Handwriting Classification with Fragment Shaders NOTE: This was built and tested with Unity 2019.4.31f1 using built-in render pipeline, there
TS-9 guitar pedal clone using neural networks.
TS-M1N3 TS-M1N3 is a guitar plugin clone of the TS-9 Tubescreamer overdrive pedal. Machine learning was used to train a model of both the drive and to
Semantic Edge Detection with Diverse Deep Supervision
Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep
[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
Learning to Delegate for Large-scale Vehicle Routing This directory contains the code, data, and model for our NeurIPS 2021 Spotlight paper Learning t
JeVois-Pro People Counter : Implement people counter on JeVois-Pro Deep Learning Smart Camera
JeVois-Pro People Counter Refer to the OpenCV People Counter article to implement a people counter on the JeVois-Pro Deep Learning Smart Camera. First
Save battery power and put your ESP32 to (deep) sleep - but what happens when it wakes up?
#229 ESP32 Deep Sleep Save battery power and put your ESP32 to (deep) sleep - but what happens when it wakes up? Direct link to video: https://youtu.b
A framework for generic hybrid two-party computation and private inference with neural networks
MOTION2NX -- A Framework for Generic Hybrid Two-Party Computation and Private Inference with Neural Networks This software is an extension of the MOTI
It is a wireless temperature, pressure and humidity sensor, supports working in Zigbee networks.
It is a wireless temperature, pressure and humidity sensor, supports working in Zigbee networks. (Zigbee2mqtt open source project). Built on CC2530 chip (Zigbee), two modications: Ebyte E18-MS1PA2-PCB radio module with amplifier and Ebyte E18-MS1-PCB. Powered by the most common AAA batteries.
deep learning vision detector/estimator
libopenvision deep learning visualization C library Prerequest ncnn Install openmp vulkan(optional) Build git submodule update --init --recursuve cd b
👾 Jupyter Notebook + Space Invaders!?
Train Invaders Jupyter Notebook + Space Invaders!? Why? • Getting started • How it works • FAQ • Drawbacks • Contribute • Thanks to • You may also lik
Real-Time Neural 3D Hand Pose Estimation from an Event Stream [ICCV 2021]
EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream Project Page Index TRAIN.md -- how to train the model from scratch EVAL_REAL
An optimized neural network operator library for chips base on Xuantie CPU.
简介 CSI-NN2 是 T-HEAD 提供的一组针对无剑 SoC 平台的神经网络库 API。抽象了各种常用的网络层的接口，并且提供一系列已优化的二进制库。 CSI-NN2 的特性： 开源 c 代码版本的参考实现。 提供玄铁 CPU 的汇编优化实现。
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
An Out-of-the-Box TensorRT-based Framework for High Performance Inference with C++/Python Support
An Out-of-the-Box TensorRT-based Framework for High Performance Inference with C++/Python Support
This is a C++17 deployment of deep-learning based image inpainting algorithm on Windows10, using Libtorch, Opencv and Qt.
This is a desktop software for image inpainting. It is a C++ deployment of image inpainting algorithm on Windows10, based on C++17 and implemented using vs2019.
A secure backup communication system. Doesn't use screens. Doesn't rely on cellular networks.
Secure Backup Communication Network (SEBCOM) A secure backup communication system. Doesn't rely on cellular networks. Doesn't use screens. What is it?
ESP32/8266 Arduino/PlatformIO library that painlessly enables incredibly fast re-connect to the previous wireless network after deep sleep.
WiFiQuick ESP32/8266 Platformio/Arduino library that painlessly enables incredibly fast re-connect to the previous wireless network after deep sleep.
An inofficial PyTorch implementation of PREDATOR based on KPConv.
PREDATOR: Registration of 3D Point Clouds with Low Overlap An inofficial PyTorch implementation of PREDATOR based on KPConv. The code has been tested
Implementing Deep Convolutional Neural Network in C without External Libraries for YUV video Super-Resolution
DeepC: Implementing Deep Convolutional Neural Network in C without External Libraries for YUV video Super-Resolution This code uses FSRCNN algorithm t
Grouped Feedback Delay Networks for Coupled Room Modeling
Grouped Feedback Delay Networks Reverb Plugin GFDNs connect multiple spaces with different T60 characteristics and a parameterized mixing matrix to co
InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.
InsNet documentation InsNet (documentation) is a powerful neural network library aiming at building instance-dependent computation graphs. It is desig
ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations.
ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-level semantic segmentations.
DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research written in C++
DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provides an python interface to better interface with machine-learning toolkits. Deep RTS can process the game with over 6 000 000 steps per second and 2 000 000 steps when rendering graphics. In comparison to other solutions, such as StarCraft, this is over 15 000% faster simulation time running on Intel i7-8700k with Nvidia RTX 2080 TI.
A header-only C++ library for deep neural networks
MiniDNN MiniDNN is a C++ library that implements a number of popular deep neural network (DNN) models. It has a mini codebase but is fully functional
ffcnn is a cnn neural network inference framework, written in 600 lines C language.
+----------------------------+ ffcnn 卷积神经网络前向推理库 +----------------------------+ ffcnn 是一个 c 语言编写的卷积神经网络前向推理库 只用了 500 多行代码就实现了完整的 yolov3、yolo-fastes
A hierarchical parameter server framework based on MXNet. GeoMX also implements multiple communication-efficient strategies.
Introduction GeoMX is a MXNet-based two-layer parameter server framework, aiming at integrating data knowledge that owned by multiple independent part
Triton - a language and compiler for writing highly efficient custom Deep-Learning primitives.
Triton - a language and compiler for writing highly efficient custom Deep-Learning primitives.
An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks
AnalyticMesh Analytic Marching is an exact meshing solution from neural networks. Compared to standard methods, it completely avoids geometric and top
PPLNN is a high-performance deep-learning inference engine for efficient AI inferencing.
PPLNN, which is short for "PPLNN is a Primitive Library for Neural Network", is a high-performance deep-learning inference engine for efficient AI inferencing.
An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface Extraction from Neural Networks
AnalyticMesh Analytic Marching is an exact meshing solution from neural networks. Compared to standard methods, it completely avoids geometric and top
Deploy SCRFD, an efficient high accuracy face detection approach, in your web browser with ncnn and webassembly
ncnn-webassembly-scrfd open https://nihui.github.io/ncnn-webassembly-scrfd and enjoy build and deploy Install emscripten
Deep Learning in C Programming Language. Provides an easy way to create and train ANNs.
cDNN is a Deep Learning Library written in C Programming Language. cDNN provides functions that can be used to create Artificial Neural Networks (ANN)