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Name: Peng Dai
Type: User
Bio: Principal Scientist@Huawei; Computer Vision; Deep Learning; Manifold Learning.
Twitter: PengDai_ca
Location: Toronto
Name: Peng Dai
Type: User
Bio: Principal Scientist@Huawei; Computer Vision; Deep Learning; Manifold Learning.
Twitter: PengDai_ca
Location: Toronto
A highly configurable visual search & analytics platform for images and videos.
Single-channel blind source separation
Tutorials for deep learning
GPU-accelerated Deep Learning on Windows 10 native
(vnc coonection to docker)Collection of Docker images with headless VNC environments
Docker images to compile TensorFlow yourself.
Keyword extraction and document recommendation in conversations
Code to replicate "Generating Visual Explanations"
The official repository of the Eesen project
Here, an algorithm to classify environmental sounds with the aim of providing contextual information to devices such as hearing aids for optimum performance is proposed. We use signal sub-band energy to construct signal-dependent dictionary and matching pursuit algorithms to obtain a sparse representation of a signal. The coefficients of the sparse vector are used as weights to compute weighted features. These features, along with mel frequency cepstral coefficients (MFCC), are used as feature vectors for classification. Experimental results show that the proposed method gives an accuracy as high as 95.6 %, while classifying 14 categories of environmental sound using a Gaussian mixture model (GMM). For more details, please refer to [1].
A lightweight 3D Morphable Face Model fitting library in modern C++11/14
Workproducts to ETL CMS datasets into OMOP Common Data Model
This is a port of the Face Frontalization code provided by Hassner et al. at http://www.openu.ac.il/home/hassner/projects/frontalize
cnn network predict face landmarks (68 points) and head pose (3d pose, yaw,roll,pitch).
Face swapping, Image morphing, Image warping.
:angel: Morph faces with Python OpenCV, Numpy, Scipy
A collection of face related papers
Non official project based on original /r/Deepfakes thread. Many thanks to him!
Factorizable Net (Multi-GPU version): An Efficient Subgraph-based Framework for Scene Graph Generation
Fashion Detection in the Wild (Deep Clothes Detector)
Fully Convolutional Instance-aware Semantic Segmentation
first folder
Flops counter for convolutional networks in pytorch framework
Video Editor for Linux
Python scripts to find enrichment of GO terms
Online translation as a Python module & command line tool. No key, no authentication needed.
Module and command line utility to save spoken text to mp3 via the Google Text to Speech (TTS) API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.