autoencoders

There are 12 repositories under autoencoders topic.

serengil / tensorflow-101
TensorFlow 101: Introduction to Deep Learning
age-prediction autoencoders automl celebrity-recognition convolutional-neural-networks deep-learning deepface emotion-analysis face-recognition facenet facial-expression-recognition gender-prediction machine-learning neural-networks openface python style-transfer tensorflow transfer-learning vgg-face
Language:Jupyter Notebook 1017
curiousily / Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
anomaly-detection artificial-intelligence autoencoders bert deep-learning image-augmentation intent-recognition jupyter-notebooks keras lstms machine-learning neural-networks object-detection python sentiment-analysis tensorflow tensorflow-tutorial time-series-classification time-series-forecasting
Language:Jupyter Notebook 987
aapatel09 / handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
anomaly-detection artificial-intelligence autoencoders clustering deep-learning generative-adversarial-network machine-learning unsupervised-learning
Language:Jupyter Notebook 620
curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial
Language:Jupyter Notebook 491
MetaRec
khanhnamle1994 / MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
deep-learning recommender-systems collaborative-filtering movielens-dataset matrix-factorization multilayer-perceptron autoencoders pytorch wandb tensorboard tensorflow ranking django cometml meta-learning boltzmann-machines
Language:Python 292
aqibsaeed / Place-Recognition-using-Autoencoders-and-NN
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
wifi-fingerprints autoencoders neural-networks place-recognition deep-learning
Language:Jupyter Notebook 268
vuptran / graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
link-prediction node-classification semi-supervised-learning deep-learning autoencoders graph-representation
Language:Python 253
nathanhubens / Autoencoders
Implementation of simple autoencoders networks with Keras
deep-learning keras autoencoders neural-networks
Language:Jupyter Notebook 233
CompVis / net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
inn pytorch lightning autoencoders gans normalizing-flows generative-model streamlit pytorch-lightning
Language:Python 219
harveyslash / Deep-Steganography
Hiding Images within other images using Deep Learning
tensorflow tensorflow-experiments deep-learning deep-neural-networks convolutional-neural-networks autoencoders nips-2017
Language:Jupyter Notebook 189
pcko1 / Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
autoencoders denovo-design drug-discovery lstm-neural-networks molecules neural-network smiles-strings
Language:Python 180
milaan9 / Deep_Learning_Algorithms_from_Scratch
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
deep-learning neural-networks tutor-milaan9 logistic-regression linear-regression deep-learning-pytorch object-detection cnn-classification deep-learning-matlab deep-learning-python autoencoders adversarial-machine-learning rnn-pytorch image-captioning data-science image-processing
Language:Jupyter Notebook 169
alexandru-dinu / cae
Compressive Autoencoder.
lossy-image-compression autoencoders binarization
Language:Python 165
cwkx / GON
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
machine-learning implicit representation networks autoencoders neural-networks generative-models siren unsupervised-learning
Language:Python 159
numaproj / numalogic
Collection of operational time series ML models and tools
machine-learning time-series python deep-learning outlier-detection autoencoders unsupervised-learning variational-autoencoder hacktoberfest
Language:Python 159
rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
deep-learning neural-networks clustering-analysis bioinformatics representation-learning autoencoders variational-autoencoder convolutional-autoencoder lstm-neural-networks
Language:Jupyter Notebook 122
nmichlo / disent
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
pytorch pytorch-lightning vae disentanglement disentangled-representations metrics configurable datasets python python3 autoencoders representation-learning metric-learning
Language:Python 116
dr-costas / mad-twinnet
The code for the MaD TwinNet. Demo page:
source-separation deep-learning audio-signal-processing music-source-separation recurrent-neural-networks singing-voice music-information-retrieval audio audio-processing twin-networks mad-twinnet deep-neural-networks deeplearning music-signal-processing pytorch voice wav autoencoders denoising-autoencoders
Language:Python 111
FutureXiang / ddae
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
autoencoders classification diffusion diffusion-models generative-models self-supervised-learning
Language:Python 96
skolouri / swae
Implementation of the Sliced Wasserstein Autoencoders
generativemodeling autoencoders optimal-transport deep-neural-networks
Language:Jupyter Notebook 90
lhao499 / language-quantized-autoencoders
Language Quantized AutoEncoders
autoencoders bert large-language-models multimodal roberta vq vqvae
Language:Python 87
timothyyu / wsae-lstm
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
lstm time-series wavelet-transform financial wsae-lstm stacked-autoencoder autoencoders stock-price-prediction machine-learning deep-learning deep-learning-framework
Language:Jupyter Notebook 75
hamaadshah / autoencoders_tensorflow
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
autoencoder autoencoders bayesian-inference deep-learning feature-engineering feature-extraction keras machine-learning python representation-learning tensorflow
Language:Python 72
ReyhaneAskari / pytorch_experiments
Auto Encoders in PyTorch
autoencoder-mnist autoencoders denoising-autoencoders pytorch pytorch-tutorial variational-autoencoder
Language:Python 63
greenelab / adage
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
manuscript methodology research paper data supplement dataset machine-learning denoising-autoencoders neural-networks autoencoders gene-expression pseudomonas-aeruginosa
Language:Python 62
jbramburger / DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
autoencoder autoencoder-neural-network autoencoders conservation-laws data-science dynamic-mode-decomposition dynamical-systems extended-dynamic-mode-decomposition forecasting kernel-methods machine-learning neural-network physics-informed-learning physics-informed-neural-networks poincare-map sindy sindy-algorithm stroboscopic-map time-delay universal-approximation-theorem
Language:Jupyter Notebook 62
nikhil-dce / Transforming-Autoencoder-TF
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
autoencoders deep-learning machine-learning representation-learning tensorflow transformation-learning transforming-autoencoders
Language:Python 61
wanglouis49 / pytorch-autoencoders
Implementation of autoencoders in PyTorch
autoencoders pytorch
Language:Python 55
avijit9 / Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset
autoencoders deep-learning deep-neural-networks pytorch pytorch-tutorials
Language:Python 54
FutureXiang / soda
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
autoencoders classification diffusion diffusion-models generative-models self-supervised-learning
Language:Jupyter Notebook 52
mpatacchiola / Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
autoencoders mnist tensorflow disentangled-representations paper y-autoencoder generative-model
Language:Python 52
ImKeTT / CTG-latentAEs
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
natural-language-processing paperlist latent-variable-models autoencoders controllable-generation generative-model representation-learning text-generation vae variational-autoencoder
49
xavierfav / coala
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
deep-learning contrastive-loss audio-representation autoencoders
Language:Python 48
haimengzhao / CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
admm pytorch image-compression model-architecture network-pruning autoencoders lossy-image-compression
Language:Python 45
greenelab / DAPS
Denoising Autoencoders for Phenotype Stratification
autoencoders machine-learning analysis methodology neural-networks
Language:HTML 42
ragavvenkatesan / yann
This toolbox is support material for the book on CNN (http://www.convolution.network).
autoencoders cnn convolution convolutional-neural-networks generative-adversarial-network neural-network neural-networks neuralnetwork theano toolboxes yann
Language:Jupyter Notebook 41

autoencoders

serengil / tensorflow-101

curiousily / Deep-Learning-For-Hackers

aapatel09 / handson-unsupervised-learning

curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

khanhnamle1994 / MetaRec

aqibsaeed / Place-Recognition-using-Autoencoders-and-NN

vuptran / graph-representation-learning

nathanhubens / Autoencoders

CompVis / net2net

harveyslash / Deep-Steganography

pcko1 / Deep-Drug-Coder

milaan9 / Deep_Learning_Algorithms_from_Scratch

alexandru-dinu / cae

cwkx / GON

numaproj / numalogic

rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics

nmichlo / disent

dr-costas / mad-twinnet

FutureXiang / ddae

skolouri / swae

lhao499 / language-quantized-autoencoders

timothyyu / wsae-lstm

hamaadshah / autoencoders_tensorflow

ReyhaneAskari / pytorch_experiments

greenelab / adage

jbramburger / DataDrivenDynSyst

nikhil-dce / Transforming-Autoencoder-TF

wanglouis49 / pytorch-autoencoders

avijit9 / Contractive_Autoencoder_in_Pytorch

FutureXiang / soda

mpatacchiola / Y-AE

ImKeTT / CTG-latentAEs

xavierfav / coala

haimengzhao / CAE-ADMM

greenelab / DAPS

ragavvenkatesan / yann