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deeptimeseriesmodel

A paper list for Time series modelling, including prediciton and anomaly detection

digital-signal-processing-lecture

Digital Signal Processing - Theory and Computational Examples

dirichlet_processes

Brief introduction and implementations of related concepts to Dirichlet Processes: GEM distribution, Polya Urn, Chinese restaurant process, Stick-Breaking construction, and Posterior of a DP.

dirichletprocess

Build dirichletprocess objects for data analysis

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

disentangling-factors-of-variation-using-adversarial-training

This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

dl-eeg

dl-neuro_papers

Collection of resources dealing with convergence of DL and neuro

dl4ir-query-reformulator

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

ecog2txt

code for decoding speech as text from neural data

ecogvis

Time series visualizer and data processing tools for Electrocorticography (ECoG) signals stored in NWB files, for Python.

eeg-classification-using-recurrent-neural-network

Used LSTM Network to classify eeg signals based on stimuli the subject recieved (visual or audio)

eeg-emotion-classification

elife2016dpca

Preprocessing and analysis scripts for the dPCA paper (eLife 2016)

entropy

EntroPy: complexity of (EEG) time-series in Python

epfl-applied-biostatistics

Data analysis course taken at EPFL during Spring 2017-18. Assignments consist of data analysis projects done in R.

erpp-rmtpp

A pytorch implementation of ERPP and RMTPP on ATM maintenance dataset.

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

featuretools

An open source python framework for automated feature engineering

framingham-glm

Analysis of data from the Framingham Heart Study using generalized linear models.

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

generative-models

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

generative-models-1

List of papers and code for relevant Generative Models

generative_models_tutorial_with_demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

ggn

Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction

glm-cfc

A GLM based approach to measure CFC