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aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

anatomyofmatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

books

存放重要的文档和电子书

cgan-keras

Unimodal Conditional Generative Adversarial Network using Keras and MNIST dataset

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

gan-keras

tensorflow2.x implementations of Generative Adversarial Networks.

gan_time_series

A model to generate time series data with the purpose of augmenting a dataset of various time series.

ganetano

Generative Adversarial Network to create synthetic time series

git-basics-cheatsheet

Basic Git commands and other useful info

iguanatexmac

IguanaTex for mac

keras-gan

Keras implementations of Generative Adversarial Networks.

matlab-gan

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

matlab-source-code-oversampling-methods

This repository contains the source code for four oversampling methods that I wrote in MATLAB: 1) SMOTE 2) Borderline SMOTE 3) Safe Level SMOTE 4) ASUWO (Adaptive Semi-Unsupervised Weighted Oversampling)

matplotlib-tutorial

Matplotlib tutorial for beginner

mechine-learning

mtss-gan

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

oversampling-imbalanced-data

MATLAB Implementation of SMOTE related algorithms

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

simple-gan-base-on-matlab

simple Generative Adversarial Networks base on matlab

terminal-mac-cheatsheet

List of my most used commands and shortcuts in the terminal for Mac

the-gan-zoo

A list of all named GANs!

timegan

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

timegan-pytorch

This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

timeseries-gan

Generation of Time Series data using generatuve adversarial networks (GANs) for biological purposes.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

wassersteingan-tensorflow

Tensorflow implementation of WGAN (Wasserstein Generative Adversarial Networks)

wgan_financial_time-series

Thesis project done on Generation Financial Time-Series with GANs. The project was a collaboration between Wholesale Banking Advanced Analytics team with ING and University Maastricht.