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3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

archivebox

🗃 The open source self-hosted web archive. Takes browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

beholder

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

bert

TensorFlow code and pre-trained models for BERT

bigquery-a-google-cloud-sql-tutorial

bigquery_helper

Helper class to simplify common read-only BigQuery tasks.

biometricecg

An ECG based biometric model for specialised authentication systems

bookserver

Archive.org OPDS Bookserver - A standard for digital book distribution

brain-tumor-segmentation-using-tumor-cut-algorithm

codes were written in Python 3.6

brats17

Patch-based 3D U-Net for brain tumor segmentation

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.

condensenet

CondenseNet: Light weighted CNN for mobile devices

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

coral-cnn

Consistent Rank Logits for Ordinal Regression with Convolutional Neural Networks

create-your-own-adventure

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cytoflow

A Python toolbox for quantitative, reproducible flow cytometry analysis

dask_jobqueue_workshop_materials

Materials for a workshop focusing on https://jobqueue.dask.org

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-science-essentials

Course files for the Microsoft data Science Essentials Course

dataset_loaders

A collection of dataset loaders

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems