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Text classification demo from our Next '19 breakout session
A curated list of awesome data labeling tools
Bypass Paywalls for Firefox
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
Code and performance tests to demonstrate the COUNTLESS algorithm. https://medium.com/@willsilversmith/countless-high-performance-2x-downsampling-of-labeled-images-using-numpy-e70ad3275589
Powerful and efficient Computer Vision Annotation Tool (CVAT)
Apps hosted in the Dash Gallery
ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Package to evaluate interactive segmentation with scribbles at DAVIS dataset.
Deep learning pipeline for segmentation of fluorescent labels in microscopy images
Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018
Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection
Digital image analysis using discrete Morse theory and persistent homology
SDK, Annotation Tooling, Training Data & Deep Learning
Extract 1-stable manifold from scalar functions on simplicial complex
DivNoising is an unsupervised denoising method to generate diverse denoised samples for any noisy input image. This repository contains the code to reproduce the results reported in the paper https://openreview.net/pdf?id=agHLCOBM5jP
EVA is a web-based tool for efficient annotation of videos and image sequences and has an additional tracking capabilities
A boundary detection algorithm in microscopic images considering 3D information.
Fast Interactive Image Segmentation using Graph-cut.
A tool using OpenCV to annotate images for image classification, optical character reading, ...
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
Fully Convolutional Instance-aware Semantic Segmentation
Biological Image Segmentation from edge probability map using Graph-Cut and Watershed algorithm
Google AI Research
Python library for converting Python calculations into rendered latex.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Image processing using python and opencv
Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
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.