emited/VariationalRecurrentNeuralNetwork

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Created over 7 years ago
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emited/VariationalRecurrentNeuralNetwork

emited

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Pytorch implementation of the Variational Recurrent Neural Network (VRNN).

VariationalRecurrentNeuralNetwork

Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data.

The paper is available here.

Run:

To train: python train.py

To sample with saved model: python sample.py [saves/saved_state_dict_name.pth]

Some samples:

flow

Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ

gantk2

GAN(TK)²: GAN Neural Tangent Kernel ToolKit

musicGAN

Training LSTM/Convnets based generative adversarial networks for generating audio data using Torch.

Jupyter Notebook

iclrreviewscrapper

ICLR Conference review scrapper.

discourseAnalysis

Using discourse analysis tools to infer text types (narrative, explicative, argumentative).

Jupyter Notebook

reno

highwayNetwork

Torch highway network implementation + training/evaluation on MNIST from https://arxiv.org/abs/1505.00387.

SoRec

Implementation of SoRec: Social Recommandation Using Probabilistic Matrix Factorisation

tmeTAL

CharGRUConversation

Torch implementation of Character Level Neural Conversation using GRUs.

bostonHousePricesRegression

Linear regressions (normal, lasso, l2, etc) on sklearn's Boston house prices dataset.

Jupyter Notebook

ensembleAnalysis

Implementation of Bagging and Adaboost, and analysis of their effects on the bias-variance tradeoff.

Jupyter Notebook