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A resource repository for 3D machine learning
This is an automated machine learning (AutoML) package.
Axon/Myelin segmentation using Deep Learning
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
Caffe models in TensorFlow
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.
Simple Tensorflow implementation of Curriculum Adaptive Sampling for Extreme Data Imbalance with multi GPU using LUNA16 (MICCAI 2017) / LUNA16 Tutorial
Essential Cheat Sheets for deep learning and machine learning researchers
A pytorch reimplementation of CheXNet
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms
Dataset helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Image restoration with neural networks but without learning.
A paper list of object detection using deep learning.
Decensoring Hentai with Deep Neural Networks
Implementation of recent Deep Learning papers
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Extensible radiation therapy research platform and viewer for DICOM and DICOM RT
Deep Learning Toolkit for Medical Image Analysis
rank1 - unet DSB2018 [ods.ai] topcoders
一键人脸归一化处理工具,包括人脸检测,人脸关键点检测,基于关键点的人脸对齐
Simple and flexible progress bar for Jupyter Notebook and console
Mxnet: Fully Convolutional Instance-aware Semantic Segmentation
starter from "How to Train a GAN?" at NIPS2016
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
CAM: keras implementation of gradcam_plus_plus
A utility for splitting and recombining large image volumes into slices or multiple overlapping sub-volumes.
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
Collection of Keras models used for classification
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.