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2016_winter_school_bootstrap

2016_winter_school_bootstrap

3d-reconstruction-with-neural-networks

3D reconstruction with neural networks using Tensorflow. See link for video. (https://www.youtube.com/watch?v=iI6ZMST8Ri0).

3dunetcnn

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

active-learning

Active learning for deep learning

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

adnet

Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (CVPR 2017)

ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

ads1-slides

Slides for Algorithms for DNA Sequencing Coursera class

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

age

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

algorithm

Algorithm practices

ali

Adversarially Learned Inference

anogan

Implementation of AnoGAN (Anomaly GAN)

anomaly-detection-resources

Outlier detection books, papers, videos, and implementations

anomalydetectiontoolbox

A collection of algorithms for anomaly detection

anomalydetectiontransformations

A simple and effective method for single-class classification of images

anonymous_github

Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.

arae

Code for the paper "Adversarially Regularized Autoencoders for Generating Discrete Structures" by Zhao, Kim, Zhang, Rush and LeCun

arxiv-crawler

Arxiv crawler (only abstract)

attention-sentiment

My bachelor's degree thesis (with code and experiments) on sentiment classification of Russian texts using Bi-RNN with attention mechanism.

autokeras

This is an automated machine learning (AutoML) package.

automatedglaucomadetection

auxiliary-deep-generative-models

Deep generative models for semi-supervised learning.

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome_tensorflow_implementations

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

began-pytorch

Implementation of BEGAN in Pytorch and other interpolation experiments

began-tensorflow

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"