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adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

architect-awesome

后端架构师技术图谱

caffe

Caffe: a fast open framework for deep learning.

caffe-fast-rcnn

Caffe fork that supports Fast R-CNN

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

cmsis_5

CMSIS Version 5 Development Repository

darknet

Convolutional Neural Networks

darknet-1

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

deepcomplexcrn

dnn-speechenhancement

examples

Examples for Bazel

fast-neural-style

Feedforward style transfer

fast-style-transfer

Fast Style Transfer in TensorFlow ⚡🖥🎨🖼

faster_rcnn

Faster R-CNN

gperftools

Main gperftools repository

kissfft

a Fast Fourier Transform (FFT) library that tries to Keep it Simple, Stupid

matlab-toolbox-for-dnn-based-speech-separation

This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).

mini-caffe

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

ml-kws-for-mcu

Keyword spotting on Arm Cortex-M Microcontrollers

openssl

TLS/SSL and crypto library

poco

The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch_sound

Sound Related Deep Learning Tasks boosting repository with pytorch

rnnoise

Recurrent neural network for audio noise reduction

soundzone_tools

Signal Processing Tools for MATLAB

source_separation

Deep learning based speech source separation using Pytorch

tc-resnet

Code for Temporal Convolution for Real-time Keyword Spotting on Mobile Devices

tensorflow-internals

It is open source ebook about TensorFlow kernel and implementation mechanism.

tensorflow-tutorial

Some tensorflow demo

vad

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.