denoising-autoencoder

Here are 6 public repositories matching this topic...

rhythmcao / unsup-two-stage-semantic-parsing

Source code and data for paper ``Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing" in ACL 2020.

unsupervised-learning semantic-parsing paraphrasing back-translation denoising-autoencoder cycle-learning dual-reinforcement-learning

Updated Sep 28, 2022
Python

ian0 / donkeycar-rl

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Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algorithms including Deep Q-Network, Soft Actor-Critic and Proximal Policy Optimization Algorithms.

pytorch deep-q-network variational-autoencoder soft-actor-critic denoising-autoencoder policy-optimization-algorithms

Updated Dec 6, 2021
Jupyter Notebook

ALPHAYA-Japan / autoencoders

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Collection of autoencoder models in Tensorflow

vanilla tensorflow ae autoencoder convolutional-autoencoder sparse-autoencoder stacked-autoencoder vanilla-autoencoder denoising-autoencoder regularized-autoencoder autoencoder-models

Updated Nov 30, 2019
Python

SURESHBEEKHANI / Autoencoders

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This project is a practice implementation of an autoencoder, The primary use case for this autoencoder is for anomaly detection in sales data, but it can be adapted for other purposes. The autoencoder compresses the input data into a lower-dimensional representation and then reconstructs the original input from this representation.