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Bio: Private Account
Augmentations usage examples for albumentations library
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
A collection of awesome resources image-to-image translation.
:metal: awesome-semantic-segmentation
ML segmentation analysis for histological images
ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management
CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)
Courses and MOOCs
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
Training your own Deeplab Model in Tensorflow
mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Generate image analogies using neural matching and blending.
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A CV toolkit for my papers.
PyTorch Golden Template (under development)
Create naive (no temporal loss) NST for videos with person segmentation. Just place your videos in data/, run and you get your stylized and segmented videos.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Semantic segmentation models, datasets and losses implemented in PyTorch.
PyTorch Implementations for DeeplabV3 and PSPNet
PyTorch deep learning projects made easy.
segmentation paper reading notes
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.