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Search results for variational autoencoder

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351 search results found

Clvae Unsupervised_change_detection_timeseriessar ⭐ 7

Unsupervised Change Detection https://doi.org/10.1016/j.jag.2023.103635

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search

Inversion with a VAE-based low-dimensional parameterization for complex geologic priors (Python 2.7)

Machine Learning Portfolio ⭐ 7

Assorted machine learning implementations for medical data

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

Image Colorization ⭐ 6

Coloring Black & White Images with the help of Autoencoder, Variational Autoencoder, Generative Adversarial Networks

Colab_tension_vae ⭐ 6

Multi-Channel Variational Auto Encoder: A Bayesian Deep Learning Framework for Modeling High-Dimensional Heterogeneous Data.

Sequence Variational Autoencoder ⭐ 6

An implementation of a sequence based variational autoencoder. Implementation based on https://arxiv.org/abs/1511.06349

Randomcode ⭐ 6

Rannnnnnnnndoooooooommmmm Code

Multiscale_variational_autoencoder ⭐ 6

Building a multiscale variational autoencoder

Exploratory_data_analysis_and_ml_projects ⭐ 6

Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

Tensorflow Advanced Techniques Solutions ⭐ 6

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new

Variational Autoencoders For Collaborative Filtering Pytorch ⭐ 6

Implementation of variational autoencoders for collaborative filtering in PyTorch

Vae Tensorflow ⭐ 6

TensorFlow implementation of Auto-Encoding Variational Bayes.

Amld2020 Workshop ⭐ 6

This repo contains workshop material for Applied Machine Learning Days 2020 conference

Physical Concepts Scinet ⭐ 6

This repository provides implementation of SciNet network described in arXiv:1807.10300v3

Variational AutoEncoder based Language Models

Variational Autoencoder For Novelty Detection ⭐ 6

A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.

Neurips2019 Disentanglement Challenge ⭐ 6

Oneclassclassifier ⭐ 6

One-class classifiers for anomaly detection (outlier detection)

Hierarchical Few Shot Generative Models ⭐ 6

Code for "SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation" @ ICML 2022

Deep Learning Readings ⭐ 6

RGCVAE: Relational Graph Conditioned Variational Autoencoder for Molecule Design

Generative Deep Learning ⭐ 6

Road towards diffusion models.

Vae Mnist Coordconv ⭐ 5

Implementation of CoordConv (Convolution and Deconvolution) for a Variational Autoencoder applied to MNIST

Refinement Of Dl Approaches For Unsupervised Cell Segmentation Classification On Microfluidic Images ⭐ 5

Research internship 2023 at Telecom Paris

Music Source Seperation Using Recurrent Vae ⭐ 5

Musical source separation using recurrent variational autoencoder

Kanerva Machine Keras Tf ⭐ 5

implementation of the paper The Kanerva Machine: A Generative Distributed Memory

Variational Autoencoder ⭐ 5

Tensorflow implementation of Variational Autoencoder for MNIST

Demo Cvae ⭐ 5

An interactive demonstration of using a deep conditional variational autoencoder to generate synthetic MNIST style handwriting digit

Keras Mnist Cvae ⭐ 5

Convolutional Draw ⭐ 5

Tensorflow implementation of Convolutional DRAW by Gregor et al. (2016)

Keras Mnist Vae ⭐ 5

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

Topological Dvae ⭐ 5

An implementation of Denoising Variational AutoEncoder with Topological loss

Negative-Binomial VAE for discrete data

Dependency-aware deep generative models for multitasking analysis of spatial genomics data

Pytorch Mnist Cvae ⭐ 5

Protein_pretrain ⭐ 5

Multimodal Pretraining for Unsupervised Protein Representation Learning

Vae_workshop ⭐ 5

Code to replicate results from the VAE workshop at ODSC 2018 Kyiv. It's still work in progress

Pytorch_vae Gmm ⭐ 5

Implementation of a model to make VAE and GMM train from each other

Antithetic Vae Public ⭐ 5

PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).

Simplydeep ⭐ 5

A simple introduction to deep learning

Hiding Images Using Vae Genarative Adversarial Networks ⭐ 5

Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images

Generative Models ⭐ 5

Repository for self-teaching of Generative Models and its applications.

pytorch implementation for "Variational Autoencoder with Implicit Optimal Priors".

Diverse_sampling ⭐ 5

Official project of DiverseSampling (ACMMM2022 Paper)

Mars Machina ⭐ 5

A deep conv. variational autoencoder is trained on digital terrain maps of Mars from HiRise/MRO. 3D surfaces are procedurally generated from the latent space in Unity

Gait-phase Estimation Module

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