mhaghighat Goto Github PK
Name: Mohammad Haghighat
Type: User
Company: Intel
Location: San Francisco Bay Area
Name: Mohammad Haghighat
Type: User
Company: Intel
Location: San Francisco Bay Area
Feature fusion using Canonical Correlation Analysis (CCA)
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection
Feature fusion using Discriminant Correlation Analysis (DCA)
DCT+Variance - multi-focus image fusion technique
Bash Script to Install Dlib on Ubuntu
Tensorflow implementation of the FaceNet face recognizer
Feature Mutual Information (FMI) - non-reference image fusion metric
Gabor Feature Extraction
Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique
Face Recognition Project on MXNet
Insight Face on TensorFlow
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Training and Detecting Objects with YOLO3
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Open Images Dataset + VOC PASCAL annotations
OpenConnect client extended to support Palo Alto Networks' GlobalProtect VPN
Repository for OpenCV's extra modules
Bash Script to Install OpenCV on Ubuntu
Accelerate inference of ðĪ Transformers with Intel optimization tools
The dataset is used to train my own raccoon detector and I blogged about it on Medium
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
Tensorflow GPU install instructions for Ubuntu
ðĻâðĻA tiny web service to help you upgrade your TensorFlow code
LaTeX Template for Dissertation/Thesis at University of Miami
YOLOv3: Training and inference in PyTorch
Read YUV Videos and Extract the Frames
A declarative, efficient, and flexible JavaScript library for building user interfaces.
ð 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. ððð
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 âĪïļ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.