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rupi-rs's Projects

gain icon gain

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gans icon gans

Comparitive study of Vanilla GAN, LSGAN, DCGAN and WGAN on MNIST dataset

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

probabilidad icon probabilidad

Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir

rgan icon rgan

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

time-series-prediction icon time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

timeseries-gan icon timeseries-gan

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

tsgan icon tsgan

Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

vanilla-gan icon vanilla-gan

Vanilla GAN implementation on MNIST dataset using PyTorch

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