Topic: "autoencoders"
serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning
Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 1,088 - Forks: 632
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)
Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 14 days ago - Pushed at: about 5 years ago - Stars: 1,048 - Forks: 439
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
Language: Python - Size: 10.6 MB - Last synced at: 10 days ago - Pushed at: 4 months ago - Stars: 648 - Forks: 96
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Language: Jupyter Notebook - Size: 99.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 604 - Forks: 314
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
Language: Jupyter Notebook - Size: 67.9 MB - Last synced at: 13 days ago - Pushed at: almost 6 years ago - Stars: 552 - Forks: 285
khanhnamle1994/MetaRec
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Language: Python - Size: 626 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 303 - Forks: 77
aqibsaeed/Place-Recognition-using-Autoencoders-and-NN
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Language: Jupyter Notebook - Size: 63.5 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 265 - Forks: 61
vuptran/graph-representation-learning
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
Language: Python - Size: 17.7 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 253 - Forks: 68
nathanhubens/Autoencoders
Implementation of simple autoencoders networks with Keras
Language: Jupyter Notebook - Size: 997 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 227 - Forks: 92
CompVis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
Language: Python - Size: 75.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 226 - Forks: 21
harveyslash/Deep-Steganography
Hiding Images within other images using Deep Learning
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 209 - Forks: 45
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.
Language: Python - Size: 116 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 183 - Forks: 54
alexandru-dinu/cae
Compressive AutoEncoder.
Language: Python - Size: 7.25 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 175 - Forks: 32
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
Language: Jupyter Notebook - Size: 9.85 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 172 - Forks: 171
numaproj/numalogic
Collection of operational time series ML models and tools
Language: Python - Size: 46.3 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 171 - Forks: 31
cwkx/GON
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Language: Python - Size: 2.71 MB - Last synced at: 29 days ago - Pushed at: over 4 years ago - Stars: 162 - Forks: 20
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
Language: Python - Size: 18.8 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 126 - Forks: 17
rezacsedu/Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 117 - Forks: 31
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 111 - Forks: 20
dr-costas/mad-twinnet
The code for the MaD TwinNet. Demo page:
Language: Python - Size: 308 KB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 111 - Forks: 26
haoliuhl/language-quantized-autoencoders
Language Quantized AutoEncoders
Language: Python - Size: 37.1 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 103 - Forks: 5
skolouri/swae
Implementation of the Sliced Wasserstein Autoencoders
Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 90 - Forks: 20
timothyyu/wsae-lstm
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
Language: Jupyter Notebook - Size: 121 MB - Last synced at: 11 months ago - Pushed at: over 2 years ago - Stars: 76 - Forks: 30
EthanJamesLew/AutoKoopman
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Language: Python - Size: 38 MB - Last synced at: about 8 hours ago - Pushed at: about 1 year ago - Stars: 74 - Forks: 9
hamaadshah/autoencoders_tensorflow
Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Language: Python - Size: 29.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 69 - Forks: 38
FutureXiang/ddae
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
Language: Python - Size: 69.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 67 - Forks: 0
xianglin226/Benchmarking-Single-Cell-Perturbation
Single-Cell (Perturbation) Model Library
Size: 219 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 61 - Forks: 4
nikhil-dce/Transforming-Autoencoder-TF
Tensorflow implementation of "Transforming Autoencoders" (Proposed by G.E.Hinton, et al.)
Language: Python - Size: 21 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 61 - Forks: 12
greenelab/adage
Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
Language: Python - Size: 79.1 MB - Last synced at: 15 days ago - Pushed at: about 9 years ago - Stars: 61 - Forks: 30
ReyhaneAskari/pytorch_experiments
Auto Encoders in PyTorch
Language: Python - Size: 21.5 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 59 - Forks: 25
paucablop/chemotools
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Language: Python - Size: 30.4 MB - Last synced at: 2 days ago - Pushed at: 4 days ago - Stars: 56 - Forks: 7
mpatacchiola/Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
Language: Python - Size: 13.1 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 52 - Forks: 9
wanglouis49/pytorch-autoencoders
Implementation of autoencoders in PyTorch
Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 52 - Forks: 24
ImKeTT/CTG-latentAEs
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 1
avijit9/Contractive_Autoencoder_in_Pytorch
Pytorch implementation of contractive autoencoder on MNIST dataset
Language: Python - Size: 7.55 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 50 - Forks: 17
HROlive/Applications-of-AI-for-Anomaly-Detection
Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.
Language: Jupyter Notebook - Size: 56.7 MB - Last synced at: 25 days ago - Pushed at: 7 months ago - Stars: 49 - Forks: 23
petrobras/WPRAutoencoders
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.
Language: Jupyter Notebook - Size: 17 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 44 - Forks: 8
BenChaliah/Superposition-Transformer
a novel architecture that leverages Autoencoders to superimpose the hidden representations of a base model and a fine-tuned model within a shared parameter space. Using B-spline-based blending coefficients and autoencoders that adaptively reconstruct the original hidden states based on the input data distribution.
Language: Jupyter Notebook - Size: 7.17 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 42 - Forks: 1
The-AI-Summer/Introduction-to-Deep-Learning-and-Neural-Networks-Course
Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io
Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 42 - Forks: 22
xavierfav/coala
COALA: Co-Aligned Autoencoders for Learning Semantically Enriched Audio Representations
Language: Python - Size: 72.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 42 - Forks: 4
haimengzhao/CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
Language: Python - Size: 1.01 GB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 42 - Forks: 9
greenelab/DAPS
Denoising Autoencoders for Phenotype Stratification
Language: HTML - Size: 19.8 MB - Last synced at: 15 days ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 9
ragavvenkatesan/yann
This toolbox is support material for the book on CNN (http://www.convolution.network).
Language: Jupyter Notebook - Size: 309 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 41 - Forks: 27
FutureXiang/soda
Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"
Language: Jupyter Notebook - Size: 105 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 40 - Forks: 2
farhanchoudhary/Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network
Codes and Templates from the SuperDataScience Course
Language: Python - Size: 232 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 39 - Forks: 41
abhisheksambyal/Autoencoders-using-Pytorch-Medical-Imaging
Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 38 - Forks: 10
fdavidcl/ruta
Unsupervised Deep Architechtures in R
Language: R - Size: 15 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 37 - Forks: 5
AKASH2907/Introduction_to_Deep_Learning_Coursera
Intro to Deep Learning by National Research University Higher School of Economics
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 36 - Forks: 31
RomanPlusPlus/Thio
Thio - a playground for real-time anomaly detection
Language: Python - Size: 4.36 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 36 - Forks: 3
christopher-beckham/amr
Official adversarial mixup resynthesis repository
Language: Python - Size: 13.9 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 35 - Forks: 2
fjbriones/pix2code2
An attempt to improve pix2code through pretrained autoencoders
Language: Python - Size: 437 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 32 - Forks: 21
Abhipanda4/Sparse-Autoencoders
Sparse Autoencoders using FashionMNIST dataset
Language: Python - Size: 41.3 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 31 - Forks: 3
abhishek-parashar/style-gan
edit your image for age, gender, pose, smile or glasses. This repository explains style-gan and how to play around with facial images.
Language: Jupyter Notebook - Size: 29 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 30 - Forks: 14
ValerianRey/fed_iot_guard
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 29 - Forks: 18
ndrplz/transforming-autoencoders
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
Language: Python - Size: 21.3 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 29 - Forks: 9
Warvito/Normative-modelling-using-deep-autoencoders
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
Language: Jupyter Notebook - Size: 348 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 7
gagan-iitb/CS550
Machine Learning Course at IIT Bhilai
Language: Jupyter Notebook - Size: 568 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 45
kwichmann/PCA_and_autoencoders
Dimensionality reduction
Language: Jupyter Notebook - Size: 291 KB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 25 - Forks: 13
glrs/StackedDAE
Stacked Denoising AutoEncoder based on TensorFlow
Language: Python - Size: 116 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 13
bchao1/Fun-with-MNIST
Playing with MNIST. Machine Learning. Generative Models.
Language: Python - Size: 224 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 23 - Forks: 4
meiyulee/continuous_Bernoulli
There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.
Language: C++ - Size: 47.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 22 - Forks: 3
JonathanCrabbe/Label-Free-XAI
This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.
Language: Python - Size: 8.19 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 9
vmicheli/delta-iris
Efficient World Models with Context-Aware Tokenization. ICML 2024
Language: Python - Size: 59.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 21 - Forks: 3
okanvk/Cukatify
Cukatify is a music social media project
Language: Java - Size: 70 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 1
ahmedgh970/brain-anomaly-seg
Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images
Language: Python - Size: 120 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 20 - Forks: 3
animikhaich/Semantic-Segmentation-using-AutoEncoders
Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)
Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 7
Mind-the-Pineapple/adversarial-autoencoder
Tensorflow 2.0 implementation of Adversarial Autoencoders
Language: Python - Size: 2.81 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 20 - Forks: 10
inboxpraveen/Autoencoders-and-decoders-using-keras-and-tensorflow
This repo contains auto encoders and decoders using keras and tensor flow. It shows the exact encoding and decoding with the code part.
Language: Jupyter Notebook - Size: 962 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 19 - Forks: 10
lgalke/aae-recommender
Adversarial Autoencoders for Recommendation Tasks
Language: Python - Size: 508 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 7
asnelt/mmae
Package for Multimodal Autoencoders in TensorFlow / Keras
Language: Python - Size: 28.3 KB - Last synced at: 3 days ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 12
rakibhhridoy/AnomalyDetectionInTimeSeriesData-Keras
Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.
Language: Jupyter Notebook - Size: 7.6 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 2
lightsalsa251/Movie-Recommender-System
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 5 months ago - Pushed at: almost 7 years ago - Stars: 17 - Forks: 13
fdavidcl/ae-review-resources
Additional resources for an overview on autoencoders
Language: Python - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 17 - Forks: 5
hamaadshah/autoencoders_pytorch
Automatic feature engineering using deep learning and Bayesian inference using PyTorch.
Language: Python - Size: 52.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 7
AlexPasqua/Autoencoders
Pytorch implementation of various autoencoders (contractive, denoising, convolutional, randomized)
Language: Python - Size: 6.09 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 2
jcvasquezc/AEspeech
Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders
Language: Python - Size: 128 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 1
webstah/self-supervised-bss-via-multi-encoder-ae
Official repository for "Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders".
Language: Jupyter Notebook - Size: 8.02 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 14 - Forks: 3
Koziev/pushkin 📦
Генеративные текстовые модели
Language: Python - Size: 86.8 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 1
bflammers/ANN2
Neural Networks package for R with a fast C++ back-end and special support for unsupervised anomaly detection using autoencoders
Language: C++ - Size: 128 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 3
rkmalaiya/network_anomaly_detection_deep_learning 📦
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”.
Language: Jupyter Notebook - Size: 40 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 8
srp98/Dimensionality-Reduction-with-Autoencoder
Using Autoencoder for dimensionality reduction and feature extraction
Language: Python - Size: 10.8 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 4
wysockipiotr/deep-scanner
Document scanner with autoencoder-driven defect removal (work in progress)
Language: Dart - Size: 95.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3
sumanth-bmsce/Deep-Neural-Network-for-Clustering
Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique
Language: Python - Size: 225 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 12 - Forks: 6
shaharazulay/adversarial-autoencoder-classifier
PyTorch implementations of Non-parametric Unsupervised Classification with Adversarial Autoencoders
Language: Python - Size: 2.12 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 2
piyush01123/VAE-MNIST-Keras
Variational autoencoder in Keras on MNIST images
Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 7
wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
Language: Python - Size: 63 MB - Last synced at: 21 days ago - Pushed at: 7 months ago - Stars: 10 - Forks: 0
Pressio/pressio4py
Python bindings to pressio
Language: C++ - Size: 6.89 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0
shoegazerstella/midi2img2vae
a VAE trained on the image representation of midi files. 💾
Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 0
sergiovirahonda/DeepFakes
This repository is part of a project which seeks to build DIY deep fakes' models from scratch. Also it's part of an article that explains how to achieve such task.
Language: Jupyter Notebook - Size: 65.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 3
yashjakhotiya/Anomaly-Detection
UCSD Anomaly Detection Challenge with CNN Autoencoders and 2-layered LSTMs
Language: Python - Size: 315 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 3
giuseppebonaccorso/lossy_image_autoencoder
Lossy image autoencoders with convolution and deconvolution networks in Tensorflow
Language: Jupyter Notebook - Size: 79.1 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 10 - Forks: 4
AllenInstitute/coupledAE-patchseq
Multimodal data alignment and cell type analysis with coupled autoencoders.
Language: Jupyter Notebook - Size: 71.7 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 1
edervishaj/gan-mf-thesis
This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems".
Language: Python - Size: 85 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 4
usc-sail/mica-multimodal-ads
Segment-level autoencoders for multimodal representation
Language: Python - Size: 226 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 9 - Forks: 1
Insiyaa/Retinal-Vessel-Segmentation
Experimenting different models for retinal vessel segmentation on DRIVE dataset.
Language: Jupyter Notebook - Size: 677 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 1
gtesei/DeepExperiments
TensorFlow/Keras experiments on computer vision and natural language processing
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 10
dingran/vae-mxnet
MXNet/Gluon implementation of the original (Gaussian) Variational Autoencoders (VAE)
Language: Jupyter Notebook - Size: 6.65 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 4
LayneH/TLDA
TensorFlow implementation of Supervised Representation Learning: Transfer Learning with Deep Autoencoders
Language: Python - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 9 - Forks: 7
jsvir/lscae
Deep unsupervised feature selection by discarding nuisance and correlated features
Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 4
MaddipatlaVigneshSrinivas/Variational-Autoencoder
This repository contains code for VAE and CVAE using residual and inverse residual blocks
Language: Jupyter Notebook - Size: 225 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2
