abdelpakey Goto Github PK
Name: Mohamed Abdelpakey
Type: User
Bio: Artificial Intelligence, Computer Vision & Deep learning.
Location: Canada
Name: Mohamed Abdelpakey
Type: User
Bio: Artificial Intelligence, Computer Vision & Deep learning.
Location: Canada
A clean PyTorch implementation of SiamRPN tracker, evaluated on 7 datasets.
A TensorFlow implementation of SiamRPN
Combination of SiamRPN and VGG
SiamVGG: Visual Tracking with Deeper Siamese Networks
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
A complete paper list of Single-Object Visual Tracking Algorithms, Surveys and Benchmarks of recent years. Different from existing paper list, this project doesn't simply category the papers by publishment, but from a tracking challenge-tackling perspective.
Real numbers, data science and chaos: How to fit any dataset with a single parameter
Light-weight framework that helps researchers to prototype faster using PyTorch.
Simple, online, and realtime tracking of multiple objects in a video sequence.
An educational resource to help anyone learn deep reinforcement learning.
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
Official implementation of "Watermarking Images in Self-Supervised Latent-Spaces"
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
StyleGAN - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation
Simplest working implementation of Stylegan2 in Pytorch
Efficient neural feature detector and descriptor
Implementation of the TADT tracker of paper 'Target-Aware Deep Tracking'
Pytorch implementation of the Target-Aware Deep Tracking (TADT) method.
Tracking Benchmark for Correlation Filters
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
TensorFlow Tutorial and Examples for Beginners with Latest APIs
A simpler way of reading data into TensorFlow
Tensorflow implementation of variational auto-encoder for MNIST
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.