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Name: Todor Lubenov
Type: User
Bio: Machine Learning and Deep Learning engineer
Location: Sofia, Bulgaria
Name: Todor Lubenov
Type: User
Bio: Machine Learning and Deep Learning engineer
Location: Sofia, Bulgaria
Mastering Docker, Second Edition, published by Packt
Mastering Machine Learning with scikit learn Second Edition, published by Packt
Try to implement deeplab v3+ on pytorch according to offical demo.
Models and examples built with TensorFlow
ms_ssim loss function implemented in pytorch
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
Source Code for 'Practical Docker with Python' by Sathyajith Bhat
Source code for 'Practical Python AI Projects' by Serge Kruk
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak
Python Machine Learning Algorithms
Python Data Science Handbook: full text in Jupyter Notebooks
DeepLab-ResNet rebuilt in Pytorch
DeepLab resnet v2 model in pytorch
DeepLab v3+ model in PyTorch
Pytorch for Segmentation
Image Segmentation and Object Detection in Pytorch
PyTorch for Semantic Segmentation
Semantic Segmentation Architectures Implemented in PyTorch
A PyTorch implementation of the YOLO v3 object detection algorithm
Simple PyTorch Tutorials Zero to ALL!
Simple Reinforcement learning tutorials
Pytorch implement: Residual Dense Network for Image Super-Resolution
DilatedNet in Keras for image segmentation
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Implementation of ShuffleNet_v2 with pytorch
Statistics for Machine Learning, published by Packt
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.