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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

ae_ts

Auto encoder for time series

agots

Anomaly Generator on Time Series

cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

coursera-deeplearning.ai-sequence-models-course-5

csv-to-influxdb

Simple python script that inserts data points read from a csv file into a influxdb database.

data-generation

The repository provides a synthetic multivariate time series data generator. The implementation is an extention of the cylinder-bell-funnel time series data generator. The scipt enables synthetic data generation of different length, dimensions and samples.

dba

DBA: Averaging for Dynamic Time Warping

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

doppelganger

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions, IMC 2020 (Best Paper Finalist)

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

dtw

DTW (Dynamic Time Warping) python module

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-models

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

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-gan

Keras implementations of Generative Adversarial Networks.

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

matrixprofile-ts

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

multivariate-time-series-models-in-keras

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

noisystudent

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

paper-list-on-imbalanced-time-series-classification-with-deep-learning

py-hive-cote

semi-super-ts-clf

Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020

sequence_gan

Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).