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223 search results found

Vq Vae_keras_implementation ⭐ 22

Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)

Bayesprocess ⭐ 22

Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.

Dae_rnn_news_recommendation ⭐ 22

Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" published by Yahoo Japan

Fed_iot_guard ⭐ 21

Detection of IoT devices infected by malwares from their network communications, using federated machine learning

Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Information between the Isotropic Gaussian Prior (as the latent space) and the Data Distribution.

F Anogan_with_pytorch ⭐ 20

Propertyclassification ⭐ 20

Classifying the type of property given Real Estate, satellite and Street view Images

Deep Steg ⭐ 20

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

Pokemon Generator ⭐ 19

Practice Tensorflow by using pokemon

Tf 1d 2d Segmentation End2endpipelines ⭐ 19

1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.

Fault Detection For Predictive Maintenance In Industry 4.0 ⭐ 19

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

Dancin_seq2seq ⭐ 19

Deep Vae Prediction Of Churn Customer ⭐ 19

Variational deep autoencoder to predict churn customer

Seq2seq Gan Autoencoder ⭐ 19

GAN and Seq2Seq

Adversarialautoencoder ⭐ 18

Adversarial AutoEncoder implemented with MXNet

Deep_learning_fmri_eeg ⭐ 18

Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing

Course Recommendation System ⭐ 18

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

Variationalautoencoders ⭐ 17

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Autoencoder_vs_metriclearning ⭐ 17

AutoEncoder vs Metric Learning for Anomaly Detection

NABNet: A Nested Attention-guided BiConvLSTM Network for a robust ‎prediction of Blood Pressure components from reconstructed Arterial Blood ‎Pressure waveforms using PPG and ECG Signals

Low-dimensional Projection of Single Cell Velocity

Concise Ipython Notebooks For Deep Learning ⭐ 17

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Pytorch Hanbit ⭐ 17

SemI-SUpervised generative Autoencoder models for single cell data

Mika2019 ⭐ 16

repository for MIKA2019

Citeseq_autoencoder ⭐ 16

Integrative analysis of single-cell multi-omics data using deep learning

Introduction To Deep Learning And Neural Networks Course ⭐ 16

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

Unsupervised_deep_learning ⭐ 15

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Pytorch_vae_cvae ⭐ 15

pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder

Deeplearning_intro_datascience ⭐ 15

Minicurso Deep Learning: Introduction to Data Science

Video_autoencoder ⭐ 15

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

Tf_practice ⭐ 15

TensorFlow 1.x Practice

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Pytorch Mnist Vae ⭐ 14

Machine Learning for Audio Signals in Python

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Notebooks ⭐ 14

my-deeplearning-practice-notebooks

Qcompress 1 ⭐ 14

Quantum Autoencoder Implementation using Forest and OpenFermion

Hands-on in-person workshop for Deep Learning with TensorFlow

Transformers_unsupervised_anomaly_segmentation ⭐ 14

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks (TKDD 2019)

Lego Face Vae ⭐ 14

Variational autoencoder for Lego minifig faces

Opensw_camp_2020 ⭐ 13

2020년 공개SW 대학생 체험캠프

Physicsawareae ⭐ 13

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Keras Adversarial Autoencoders ⭐ 13

Experiments with Adversarial Autoencoders using Keras

Learning_data_aug ⭐ 13

OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

Video Compression Net ⭐ 12

A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frame

Deeplearningdenoise ⭐ 12

Denoising Cifar10 images using deep learning with Keras

Nlg_autoencoder ⭐ 12

Natural Language Generation with a denoising autoencoder

Ml Image Denoising ⭐ 12

Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder

Movie Recommender System ⭐ 12

Brain Mri Autoencoder ⭐ 11

Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Autoencoderanim ⭐ 11

Code for my blog post on Animating Doodles with Autoencoders

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Wprautoencoders ⭐ 11

This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.

Acvae Vc ⭐ 11

Unsupervised Image Retrieval ⭐ 11

Libro Deep Learning ⭐ 11

Material adicional del libro "Deep Learning: Principios y fundamentos", publicado por la Editorial UOC

Generic Expression Patterns ⭐ 11

Distinguishing between generic and experiment-specific gene expression signals.

Sample Machine Learning Projects ⭐ 10

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Semantic Segmentation Using Autoencoders ⭐ 10

Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)

Conv Autoencoder ⭐ 10

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Ml_wirelesscomm ⭐ 10

Machine Learning Applications in Wireless Communications - Project work

Interactive_generative_3d_shapes ⭐ 10

🚗 Exploring Generative 3D shapes using Autoencoder Networks

Manifold Linearization ⭐ 10

Companion repository for the paper "Representation Learning via Manifold Flattening and Reconstruction"

Autoencoders And Decoders Using Keras And Tensorflow ⭐ 10

This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.

Deep Learning Scratch Arena ⭐ 10

Implementing most important basic building blocks of Deep Learning from scratch.

Meta Autoencoder ⭐ 10

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Re Deep Convolution Neural Network And Autoencoders Based Unsupervised Feature Learning Of Eeg ⭐ 9

Network_anomaly_detection_deep_learning ⭐ 9

This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

T Snepreprocessingcomparison ⭐ 9

Comparison of two techniques for pre-processing data for t-SNE (PCA and convolutional autoencoder).

Mlseminars Autoencoders ⭐ 9

Jupyter notebook of my autoencoder presentation

Introduction_to_deep_learning_coursera ⭐ 9

Intro to Deep Learning by National Research University Higher School of Economics

EoR Signal Separation with a Convolutional Denoising Autoencoder (CDAE)

Lossy_image_autoencoder ⭐ 9

Lossy image autoencoders with convolution and deconvolution networks in Tensorflow

Pyconvnetphash ⭐ 9

image perceptual hash experiment using convolutional neural net models

Anomaly Detection Autoencoder ⭐ 9

Gravitational-Wave Detection Algorithms with Spiking Neural Networks

Vae Mxnet ⭐ 8

MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)

Phase Of Matter By Machine Learning ⭐ 8

Unsupervised machine learning of phase of matter in physics

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Mida Pytorch ⭐ 8

A pytorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Self Supervised Bss Via Multi Encoder Ae ⭐ 8

Official repository for "Self-Supervised Blind Source Separation via Multi-Encoder Autoencoders".

Deep unsupervised feature selection by discarding nuisance and correlated features

Supervised Vector-Quantized Autoencoder

K Sparse Autoencoder ⭐ 8

Sparse Auto Encoder and regular MNIST classification with mini batch's

Resautonet ⭐ 8

Data Science Projects ⭐ 8

{PySpark, R, Python}: Several Data Science projects

Mml Feature Learning ⭐ 8

Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks

Variational_autoencoder_ecg_heartbeat ⭐ 7

Variational Autoencoder for ECG heartbeat dataset

Spectral_metric_for_dataset_complexity_assessment Keras ⭐ 7

Implementation for Spectral Metric for Dataset Complexity Assessment(CVPR2019)

Variational Autoencoder for Molecules

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Improving Sepsis Treatment Strategies ⭐ 7

This is the repository for paper "Improving Sepsis Treatment Strategies using Deep Reinforcement Learning and Mixture-of-Experts"

Restricted Boltzmann Machines ⭐ 7

Implementation of restricted Boltzmann machines in Tensorflow 2

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