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ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

antispider

arps

beaverdam

Video annotation tool for deep learning training labels

buglydemo

BugleyDemo 接入demo

caffe

Caffe: a fast open framework for deep learning.

caffe-tensorflow

Caffe models in TensorFlow

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

dare

DARE: Deception Analysis and Reasoning Engine

deep_impression

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition

deeplearnjs

A hardware-accelerated deep learning library for the web.

digits

Deep Learning GPU Training System

dnn-study-and-application

This is my SSP project in 2016

duilib

echarts-gl

Extension pack of ECharts providing globe visualization and 3D plots

emotion-recognition-and-prediction

A streamlined system to detect human emotions from image and voice and predict its reaction

emotion-recognition-neural-networks

Emotion recognition using DNN with tensorflow

face-recognition-server

An face recognition experiment with WebRTC, Websockets, OpenCV and Python.

face_recognition

The world's simplest facial recognition api for Python and the command line

facial-expression

Facial-Expression Recognition with Deep Neural Networks

framework

Machine learning, computer vision, statistics and general scientific computing for .NET

heartbeat

Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.

hosts

:statue_of_liberty:最新可用的google hosts文件。镜像：

httpclient-cpp

C++ client for making simple HTTP requests

nginx-rtmp-win32

Nginx-rtmp-module Windows builds.

nim_duilib_framework

网易云信Windows应用界面开发框架（基于Duilib）

nlpir

nova

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

python-capture-device-list