PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

Last update: Nov 21, 2022

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Deep Learning Pytorch-AutoEncoders

Overview

PyTorch Autoencoders

Implementing a Variational Autoencoder (VAE) Series in Pytorch.

Inspired by this repository

Model List

check	model	paper	conference
O	VAE	Auto-Encoding Variational Bayes	ICLR 2014
O	CVAE	Learning Structured Output Representation using Deep Conditional Generative Models	NeurIPS 2015
O	AAE	Adversarial Autoencoder	ICLR 2016
O	Beta-VAE	β-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework	ICLR 2017
	VQ-VAE	Neural Discrete Representation Learning	NeurIPS 2017

Result

TBD

Contact

If you have any question about the code, feel free to email me at [email protected].

Owner

Subin An

Human-Computer Interaction

GitHub Repository

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PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

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Result

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PyTorch Autoencoders - Implementing a Variational Autoencoder (VAE) Series in Pytorch.

Related tags

Overview

PyTorch Autoencoders

Model List

Result

Contact

Owner

Subin An

Optimising chemical reactions using machine learning

Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)

Code for Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

An offline deep reinforcement learning library

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch.

Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.

PointPillars inference with TensorRT

Deeply Supervised, Layer-wise Prediction-aware (DSLP) Transformer for Non-autoregressive Neural Machine Translation

Genetic Programming in Python, with a scikit-learn inspired API

A medical imaging framework for Pytorch

Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

Real-time analysis of intracranial neurophysiology recordings.

A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling" (ICCV 2021)

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

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