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Search results for deep learning autoencoder
autoencoder
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deep-learning
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228 search results found
Transforming Autoencoder Tf
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59
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
Dl_study_with_gluon
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58
Deep Learning Study with Gluon
Cytoself
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58
Self-supervised models for encoding protein localization patterns from microscopy images
Peax
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57
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Noise2noise Audio_denoising_without_clean_training_data
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52
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
Image Retrieval
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52
Image retrieval program made in Tensorflow supporting VGG16, VGG19, InceptionV3 and InceptionV4 pretrained networks and own trained Convolutional autoencoder.
Tensorflow_advanced_tutorials
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52
Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다.
Speech_driven_gesture_generation_with_autoencoder
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50
This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
Mnist Deep Learning
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50
Deep Learning codes for MNIST with detailed explanation
Recoder
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48
Large scale training of factorization models for Collaborative Filtering with PyTorch
Tutorial Medical Image Registration
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48
Medical Image Registration
Maui
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47
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
Pydeep
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45
PyDeep is a machine learning / deep learning library with focus on unsupervised learning. The library has a modular design, is well documented and purely written in Python/Numpy. This allows you to understand, use, modify, and debug the code easily. Furthermore, its extensive use of unittests assures a high level of reliability and correctness.
Deep Music Autoencoder
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45
The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework
Scipy2015
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44
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Pytorchcrashcourse
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44
A few notebooks on deep learning with PyTorch
M Phate
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44
Multislice PHATE for tensor embeddings
Lipreading
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42
Adaptive Multispeaker Separation
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42
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
Dlkoopman
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42
A general-purpose Python package for Koopman theory using deep learning.
Anomalydetectionusingautoencoder
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42
Anomaly detection using Autoencoder implemented with Keras 2.
Yann
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42
This toolbox is support material for the book on CNN (http://www.convolution.network).
Deep Convolutional Autoencoder
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41
This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
Autoencoders Variants
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40
Pytorch implementations of various types of autoencoders
Variational Dl
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40
Variational Deep Learning implementations, starting from simple Autoencoders.
Autoencode
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40
AutoenCODE is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities.
Sesf Fuse
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39
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Pytorch_sac_ae
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38
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Conditional_vae
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37
conditional variational autoencoder written in Keras [not actively maintained]
Dcase2020_task2_baseline
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37
DCASE2020 Challenge Task 2 baseline system
Ruta
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37
Unsupervised Deep Architechtures in R
Mirapy
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37
MiraPy: A Python package for Deep Learning in Astronomy
Anomaly Event Detection
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36
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.
Digiencoder
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36
A digit autoencoder for humans 🧬
Tensorflow_whatwhereautoencoder
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34
Stacked What-Where Auto-encoders implementation wiht Tensorflow
Contractive_autoencoder_in_pytorch
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34
Pytorch implementation of contractive autoencoder on MNIST dataset
2d And 3d Deep Autoencoder
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34
Convolutional AutoEncoder application on MRI images
Catseye
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33
Neural network library written in C and Javascript
Numpy Nn Model
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32
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Keras Generating Sentences From A Continuous Space
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31
Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349
Decres
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30
Deep learning for identifying cis-regulatory elements and other applications
Vae Style Transfer
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30
An experiment in VAE-based artistic style transfer by embedding fiddling.
Ae Cnn
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29
(ICVGIP' 18 Oral Paper) Classification of thoracic diseases on ChestX-Ray14 dataset
Vae Anomaly Detector
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29
Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.
Pytorch Recurrent Ae Siggraph17
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29
Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactiv
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Sldm4 H2o
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27
Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
Deep Learning A Z Hands On Artificial Neural Network
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27
Codes and Templates from the SuperDataScience Course
Autokoopman
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27
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Fc
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26
Face enhancer - Denoising Auto Encoder by Tensorflow and Keras and skimage
Pixel_character_generator
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26
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
Deep Autoencoder Recommendation
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26
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Stock2vec
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26
Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Nn For Missing Marker Reconstruction
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25
This is the official implementation of the paper "A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture"
Deepad
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25
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Image_deionising_auto_encoder
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25
Noise removal from images using Convolutional autoencoder
Colornet Template
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24
Colorizing B&W Photos with Neural Networks
Chemotools
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24
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Tensorbag
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24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
Deep Learning Visuals
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24
A collection of 100 Deep Learning images and visualizations
Pix2code2
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23
An attempt to improve pix2code through pretrained autoencoders
Ai101 Deeplearning
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23
AI101 - Comprehensive Deep Learning Tutorial
Recsys_autoencoders
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23
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Transforming Autoencoders
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22
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
Deeplearningexamples
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22
Deep learning examples with Python and Tensorflow & Keras.
Vq Vae_keras_implementation
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22
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Awesome Deep Learning Chainer Examples List
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21
Chainer example codes list
Deep Steg
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20
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Vde_metadynamics
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20
Enhanced protein mutational sampling using time-lagged variational autoencoders
Easydl
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20
Easy and fast deep learning
Propertyclassification
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20
Classifying the type of property given Real Estate, satellite and Street view Images
Continuous Image Autoencoder
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19
Deep learning image autoencoder that not depends on image resolution
Website Fingerprinting
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19
Automatic Feature Generation for Website Fingerprinting
Memae Tf2
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19
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
Convolutional Autoencoder
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19
A convolutional autoencoder made in TFLearn.
Continuous_bernoulli
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18
A program of simulator and test statistic for continuous Bernoulli distribution. More than that, it contains two Continuous Bernoulli populations and continuous Trinomial distribution for variational autoencoder model in deep learning.
Faceencoder
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18
A face autoencoder for humans 👨🎤
Deep Learning.jl
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18
Introduction to deep learning using Flux.jl
Deep_learning_fmri_eeg
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18
Implementation of deep learning models in decoding fMRI/EEG data in a context of semantic processing
Haskell Vae
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17
Learning about Haskell with Variational Autoencoders
Nabnet
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17
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
Autoencoder_vs_metriclearning
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17
AutoEncoder vs Metric Learning for Anomaly Detection
Breast Cancer Sub Types
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17
A novel self-supervised feature extraction method using omics data is proposed which improves classification in most of the classifiers.
Min2net
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17
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
Deepsign A Deep Learning Architecture For Sign Language Recognition
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17
Concise Ipython Notebooks For Deep Learning
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17
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Sae
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17
Accepted in MIDL 2020
Simplegan
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16
Tensorflow-based framework to ease training of generative models
Optimal Textures
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16
Optimal deep texture generation and style transfer based on Eric Risser's paper
Introduction To Deep Learning And Neural Networks Course
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16
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Sisua
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16
SemI-SUpervised generative Autoencoder models for single cell data
Gad Nr
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16
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Citeseq_autoencoder
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16
Integrative analysis of single-cell multi-omics data using deep learning
Quickselection
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15
[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
Unsupervised_deep_learning
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15
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
Coala
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15
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
Deeplearning_intro_datascience
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15
Minicurso Deep Learning: Introduction to Data Science
Neural_network_kotlin
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15
Autoencoder + Deep Autoencoder + Deep Convoluted Autoencoder + Hebbian
N2d
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14
Library implementation of https://arxiv.org/abs/1908.05968v5
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