eggpan95

Bayesian-deep-learning

Notes and codes of the topic "Bayesian deep learning"

Deep-SVDD

Repository for the Deep One-Class Classification ICML 2018 paper

education

Materials for my lectures and for self-study in machine learning

ConcreteDropout

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

NLP-TextAnalytics-DeepLearning

A repository with NLP research ideas, implementations and applications along with applications of machine learning and deep learning

Progressively-Growing-Networks

Experiments on different dataset on how to grow networks during training to learn new image categories.

binarygan

Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"

RAGAN

Residual attention generative adversarial networks for image-to-image translation

BOWser

baseline semantic parsing without syntax

Safe-Visual-Navigation-tensorflow

Tensorflow implementation of "Richter et al., Safe Visual Navigation via Deep Learning and Novelty Detection, RSS, 2017"

DeepDOA

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

Orbital_Mechanics

Useful programs for orbital mechanics

nlp_tasks

Natural Language Processing Tasks and References

magenta-demos

Demonstrations of Magenta Models

keras-tcn

Keras Temporal Convolutional Network.

DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

LatentEntitiesExtraction

Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? Multi-Task Learning with Task-Grouping Model (CoNLL 2018)

DSDH-HashingCode

GEM

Deep-Hash-Table-ICML18

"Efficient end-to-end learning for quantizable representations" accepted on ICML2018

gps_helper

Tools and examples for GPS

TCN

Sequence modeling benchmarks and temporal convolutional networks

AnoGAN

Tensorflow Implementation of AnoGAN (Anomaly GAN)

2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

DeepGlobe-Road-Extraction-Challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

NAB

The Numenta Anomaly Benchmark

lstm_anomaly_thesis

Anomaly detection for temporal data using LSTMs

deep_learning

Deep Learning