An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: autoencoder

HasnainRaz/Skin-Segmentation-TensorFlow

A modified SegNet Convolutional Neural Net for segmenting human skin from images

Language: Python - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 59 - Forks: 12

CTCycle/FEXT-Autoencoder

An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture

Language: Python - Size: 74.3 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

Aditiii17/Sar_Colorization

A PyTorch-based GAN model for colorizing grayscale SAR (Synthetic Aperture Radar) images. Utilizes a convolutional Generator and Discriminator in an adversarial setup to produce realistic color outputs.

Language: Python - Size: 4.48 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AkiRusProd/numpy-nn-model

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Language: Python - Size: 335 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 72 - Forks: 5

fontcala/libdl

C++ Deep Learning Library (DLFS-TUM)

Language: C++ - Size: 7.36 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

GoogleCloudPlatform/keras-idiomatic-programmer 📦

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Language: Jupyter Notebook - Size: 94.6 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 817 - Forks: 282

RubensZimbres/Repo-2017

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Language: Python - Size: 40.4 MB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 1,191 - Forks: 677

richzhang/splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Language: Shell - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 140 - Forks: 31

I-Halder/ML-algorithm-from-scratch

This repo contains implementation of some basic ML algorithms from scratch on PyTorch with GPU support.

Language: Python - Size: 40 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

mmartyna123/CV-ImageInpainting

Bean Image Inpainting Project for Computer Vision Classes

Language: Jupyter Notebook - Size: 169 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1

Sardhendu/Data-Science-Projects

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

Language: Jupyter Notebook - Size: 103 MB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 8

jonasricker/aeroblade

[CVPR2024] AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error

Language: Python - Size: 7.24 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 50 - Forks: 9

aditya5558/Android-Malware-Detection

Android Malware Detection using Deep Learning

Language: Python - Size: 643 KB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 54 - Forks: 13

hjhaghshenas/SMND

Skip-connected autoencoder semi-blind multichannel nonstationary deconvolution (SMND) for seismic data

Language: Python - Size: 17.3 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Bhazantri/Autoencoder_Denoise-

Removing Noise from Images Using Autoencoders

Language: Python - Size: 50.5 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 2

bdy9527/SDCN

Structural Deep Clustering Network

Language: Python - Size: 88.3 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 274 - Forks: 72

royerlab/cytoself

Self-supervised models for encoding protein localization patterns from microscopy images

Language: Python - Size: 50.2 MB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 76 - Forks: 15

FlorentF9/Supaero-mlautoencoders

"From PCA to Autoencoders" course material

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

FlorentF9/DESOM

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Language: Python - Size: 6.72 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 97 - Forks: 30

pierridotite/CIFAR10-CompressAI

Convolutional autoencoder for compressing and reconstructing CIFAR-10 images using TensorFlow.

Language: Jupyter Notebook - Size: 176 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

silkemaes/MACE

MACE, a Machine-learning Approach to Chemistry Emulation

Language: Jupyter Notebook - Size: 473 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 4

hwalsuklee/tensorflow-mnist-VAE

Tensorflow implementation of variational auto-encoder for MNIST

Language: Python - Size: 374 KB - Last synced at: 6 days ago - Pushed at: about 8 years ago - Stars: 496 - Forks: 180

Shohail-Ismail/AquaSentinel-EYH-Prototype

AquaSentinel is a prototype designed to detect anomalous vital levels of deep-sea divers, developed for the EYH university competition, for which it was awarded a Distinction. AquaSentinel is a component of our project 'VitaLink': a concept dive computer that analyses vitals data and alerts surface teams in case of an anomalous readings.

Language: Python - Size: 12.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

taneishi/AnomalyDetectionBearing

Anomaly Detection for Bearing Failures using LSTM Autoencoder.

Language: Python - Size: 413 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 2

marcusfrdk/lstm-autoencoder

This is a simple implementation of an LSTM autoencoder built without the use of any deep learning libraries.

Language: Python - Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Snigdho8869/pneumonia-detection-ai

This repository contains code for pneumonia detection using Convolutional Neural Networks and transfer learning with mobilenet. It includes pre-processing, model training and evaluation.

Language: Jupyter Notebook - Size: 29.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

pooranjoyb/Autoencoder-Colorization

Autoencoder for Image Colorization

Language: Python - Size: 33.5 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

masoudshahrian/DeepLearning-Code

Deep learning Projects with code

Language: Jupyter Notebook - Size: 6.61 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

YasinRezvani/Audio_Denoising_Using_FFT_and_CNN

The project aims to reduce noise from audio files using signal processing and deep learning techniques.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0

xuyanwen2012/interactive_generative_3d_shapes

🚗 Exploring Generative 3D shapes using Autoencoder Networks

Language: Jupyter Notebook - Size: 33.9 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 1

bits-bytes-nn/sound-anomaly-detection-with-autoencoders

MIMII Sound Anomaly Detection with AutoEncoders

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 38 - Forks: 12

boortel/AE-Reconstruction-And-Feature-Based-AD

Framework for the AE reconstruction and feature based AD

Language: Python - Size: 5.28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 2

zpettry/AI-Autoencoder-for-HTTP-Log-Anomaly-Detection

AI: Autoencoder for HTTP Log Anomaly Detection

Language: Jupyter Notebook - Size: 145 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 7

Oafish1/JAMIE

Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)

Language: Python - Size: 1.05 GB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 12 - Forks: 9

GlastonburyGroup/ImLatent

Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders

Language: Python - Size: 88.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 2

FedML-AI/FedIoT

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.

Size: 36.8 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 44 - Forks: 16

yigitozgumus/Polimi_Thesis

This is the code repository of my master's thesis titled "Adversarially Learned Anomaly Detection using Generative Adversarial Networks"

Language: Jupyter Notebook - Size: 86 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4

JayantGoel001/Credit-Card-Fraud-Detection

Fraud detection is a binary classification problem in which the transactions data is analyzed and classified in “legitimate” or “fraudulent”

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

imanirajian/Machine-Learning

Machine learning: Practical applications

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 5

jaimealruiz/Laocoonte

Intelligent IDS for Anomaly Detection in Network Traffic based on 1D CNN Autoencoder and One-Class SVM

Language: Python - Size: 2.97 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tim000519/Style-VT

Chord-Generating Variational Transformer

Language: Python - Size: 8.67 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

Bjarten/deep-learning-ND

Projects and exercises for the Deep Learning Nanodegree

Language: Jupyter Notebook - Size: 246 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 11

louis-alexandre-laguet/Variational_Auto_Encoder

This repository presents Autoencoders (AE) and Variational Autoencoders (VAE) on the Fashion MNIST and CelebA datasets. It delves into concepts of image compression, reconstruction, and the generation of new images via probabilistic models.

Language: Jupyter Notebook - Size: 7.1 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

strvcom/strv-ml-mask2face

Virtually remove a face mask to see what a person looks like underneath

Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 64 - Forks: 21

IvanBongiorni/TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 22

bragg13/sae-fmri-extractor

Neuroscience meets ML: Encoding Human Brain Activity Through Sparse Autoencoders. Using SAE to extract relevant features from fMRI data.

Language: Python - Size: 104 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

mbaranr/recolor_cifar10

Autoencoders (U-Net) and DCGANs for CIFAR-10 colourization.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

shreyasbapat/Fabric-Detection

Detecting Fabric by Deep Learning Approach : Includes Classification and Matching the fabric. This enables a user to perform a search based on the fabric on top e-shopping websites like Amazon and Flipkart if integrated

Language: Jupyter Notebook - Size: 188 MB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 3

Snigdho8869/Computer-Vision-Projects

Explore diverse computer vision projects using Transfer Learning(TL), Convolutional Neural Networks (CNN), Autoencoder and more in this collaborative repository

Language: Jupyter Notebook - Size: 32.5 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 6

Jafagervik/TinyDAS

Tinygrad meets DAS data

Language: Python - Size: 192 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

drawcodeboy/SRL-AE

Sparse Residual LSTM Autoencoder | Robust Autoencoder for Anomaly Detection in ECG | 2024 대한전자공학회 추계학술대회 | Autumn Annual Conference of IEIE, 2024 | OMS 2

Language: Python - Size: 3.85 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

scapeML/scape

Single-cell Analysis of Perturbational Effects using Machine Learning

Language: Python - Size: 3.13 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 3

lucashu1/link-prediction

Representation learning for link prediction within social networks

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 350 - Forks: 114

araffin/srl-zoo

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Language: Python - Size: 4.51 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 163 - Forks: 18

podgorskiy/VAE

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

Language: Python - Size: 5.17 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 73 - Forks: 13

alejimgon/Housing-Prices-Kaggle-Competition-Model

This repository contains my current model for the Housing Prices Kaggle competition.

Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TrainingByPackt/Applied-Unsupervised-Learning-with-Python

Discover hidden patterns and relationships in unstructured data with Python

Language: Jupyter Notebook - Size: 132 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 26 - Forks: 32

tensorlayer/awesome-tensorlayer

A curated list of dedicated resources and applications

Size: 94.7 KB - Last synced at: 19 days ago - Pushed at: over 5 years ago - Stars: 268 - Forks: 59

cxhernandez/molencoder

Molecular AutoEncoder in PyTorch

Language: Python - Size: 49.8 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 90 - Forks: 17

Minqi824/ADGym

Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023

Language: Python - Size: 153 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 29 - Forks: 6

shubhomoydas/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Language: Python - Size: 125 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 855 - Forks: 184

markovmodel/deeptime

Deep learning meets molecular dynamics.

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 26 days ago - Pushed at: about 6 years ago - Stars: 178 - Forks: 40

GiantTreeLP/emoji-auto-encoder

Compresses Twemoji emojis down to 32 bytes (8 4-bit floating point numbers).

Language: Python - Size: 3.03 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

charlesq34/pointnet-autoencoder

Autoencoder for Point Clouds

Language: Python - Size: 472 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 430 - Forks: 88

sedefkjamili/CosmicQuakes

A comprehensive project for Seismic Detection Across the Solar System, combining advanced signal processing, machine learning, and verification techniques to analyze and detect seismic events on planetary bodies.

Language: Python - Size: 9.42 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bjam24/agh-machine-learning

This projects were made for the Machine Learning course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.

Language: Jupyter Notebook - Size: 137 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Lynda-Starkus/DeepvisionAI_Backend

DeepvisionAI-backend is the code core of a desktop software providing detection/tracking of pedestrians and abnormal crowd activity using convolutional auto-encoders.

Language: Python - Size: 82.2 MB - Last synced at: 24 days ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 4

zenklinov/Hotelling-T-Square

This repository contains the implementation of a multivariate control chart with dimension reduction techniques, namely Factor Analysis of Mixed Data (FAMD) and Autoencoder. The control chart is designed for detecting network intrusions using network data traffic.

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

elggem/tensorflow_node

Tensorflow based ROS node for evaluating deep learning algorithms.

Language: Python - Size: 17.4 MB - Last synced at: about 1 month ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 5

mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

harveybc/feature-extractor

Application for training an autoencoder for generating an encoder that can be used as feature extractor for dimensionality and noise reduction, while the decoder can be used for synthetic data generation. Supports dynamic plugin integration, allowing users to extend its capabilities by adding custom encoder and decoder models.

Language: Python - Size: 182 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 5 - Forks: 0

ghost5013/EDA-Time-series

A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.

Language: Jupyter Notebook - Size: 318 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JeffTheNinja57/research_workshop

Comparing latent space representations using autoencoders and vision transformers using fMRI data.

Language: Python - Size: 17.3 MB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

fullestsky/Exoplanets_Finder

Deep learning models are used to analyze time-series flux variations and identify exoplanet-hosting stars by detecting periodic dimming patterns with high precision.

Language: Jupyter Notebook - Size: 516 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

Adlai-1/Variational-Auto-Encoders

This a Variational Autoencoder for Anomaly detection (Credit Card Fraud). This project was solely done as my final thesis for my MSc. Computer Science program.

Language: Jupyter Notebook - Size: 49.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

lyeoni/pytorch-mnist-VAE

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 111 - Forks: 48

eshansurendra/cell_anomaly_detection_using_autoencoders

This repository offers a TensorFlow-based anomaly detection system for cell images using adversarial autoencoders, capable of identifying anomalies even in contaminated datasets. Check out our code, pretrained models, and papers for more details.

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 9 - Forks: 0

zahsa/PDF_of_Reconstruction_Error

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ariG23498/mae-scalable-vision-learners

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Language: Jupyter Notebook - Size: 38.7 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 78 - Forks: 15

sarangs1621/Detection-of-Mixed-Pixels-in-Thermal-Image

A lightweight Python deep learning framework for precision agriculture. It leverages a CNN autoencoder to detect mixed pixels in thermal images, enabling early crop disease detection with robust metrics (MPP, SSIM, MSE) and scalable design.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

xiaohan2012/sdne-keras

Keras implementation of Structural Deep Network Embedding, KDD 2016

Language: Python - Size: 203 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 92 - Forks: 31

gongersio/autoencoder-project

A basic autoencoder model using CNNs to analyse online social media videos about immersive museum exhibits.

Language: Python - Size: 32.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MalloryWittwer/spheriscope

A toolbox for visualizing images on a spherical latent space

Language: Python - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0

CYY-CYY-CYY/Hybrid-Recommendation-System

A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.

Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Aleedm/GlomeruLearn-Advanced-Deep-Learning-for-Kidney-Tissue-Analysis

A project leveraging machine learning for the identification and classification of glomeruli in renal biopsy images. Utilizes SegNet and U-Net for segmentation and explores unsupervised clustering for sclerosed glomeruli classification

Language: Python - Size: 117 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

danphilps/WBS_InfoSystems

Welcome to Warwick Business School's Financial Technology, Machine Learning Driven Quantitative Investment.

Language: Jupyter Notebook - Size: 89.8 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

The-AI-Summer/deep-learning-visuals

A collection of 100 Deep Learning images and visualizations

Size: 6.01 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 76 - Forks: 11

chrismattmann/MLwithTensorFlow2ed

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Language: Jupyter Notebook - Size: 546 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 139 - Forks: 69

ZIYU-DEEP/Awesome-Autoencoders-for-Representation-Learning

A curated list on the literature of autoencoders for representation learning.

Size: 203 KB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 30 - Forks: 1

DimAthanasakos/Graph-AutoEncoder-for-Model-Agnostic-Anomaly-Detection

Graph AutoEncoder for Model Agnostic Anomaly Detection

Language: Python - Size: 286 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

scofield7419/basic_NNs_in_frameworks

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

Language: Python - Size: 16.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 64 - Forks: 22

zelaki/eqvae

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Language: Python - Size: 1.13 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 38 - Forks: 0

bruAristimunha/Re-Deep-Convolution-Neural-Network-and-Autoencoders-Based-Unsupervised-Feature-Learning-of-EEG

Language: Jupyter Notebook - Size: 111 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 7

JongueBongers/GEDI_Outlier_Detector

Outlier detection for GEDI waveform lidar data

Language: Jupyter Notebook - Size: 4.08 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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

agopal42/syncx

Official code repository for NeurIPS 2024 paper "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery"

Language: Python - Size: 936 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 0

SolarLiner/latentwt

Generate wavetables, with AI.

Language: Vue - Size: 6.41 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

steveee27/Autoencoder-for-Dimension-Reduction-in-Fashion-MNIST-Dataset

This project uses an Autoencoder for dimension reduction on the Fashion MNIST dataset, which contains grayscale clothing images. The goal is to reduce the 784-dimensional images (28x28) to a 128-dimensional latent space while reconstructing the images. The performance is evaluated using the Structural Similarity Index (SSIM).

Language: Jupyter Notebook - Size: 666 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

crowsonkb/vgg_loss

A VGG-based perceptual loss function for PyTorch.

Language: Python - Size: 75.2 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 62 - Forks: 15

unshun0120/Apply-FederatedLearning-into-Autoencoder

Using Federated Learning to train Autoencoder and its variants' models in pytorch

Language: Python - Size: 900 KB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Related Keywords
autoencoder 1,661 deep-learning 603 machine-learning 340 pytorch 298 tensorflow 287 python 236 keras 206 neural-network 160 cnn 156 convolutional-neural-networks 141 anomaly-detection 133 variational-autoencoder 115 computer-vision 98 gan 92 vae 87 deep-neural-networks 83 mnist 82 unsupervised-learning 78 lstm 77 generative-adversarial-network 71 neural-networks 70 classification 53 dimensionality-reduction 53 clustering 53 generative-model 51 rnn 50 python3 48 image-processing 46 pca 46 keras-tensorflow 41 denoising-autoencoders 38 deeplearning 38 nlp 36 autoencoders 36 tensorflow2 35 recurrent-neural-networks 35 jupyter-notebook 35 reinforcement-learning 33 artificial-intelligence 31 data-science 31 transfer-learning 30 autoencoder-mnist 29 time-series 29 ai 27 recommender-system 26 numpy 26 pytorch-implementation 26 denoising 25 representation-learning 24 regression 24 transformer 24 convolutional-autoencoder 24 segmentation 24 unet 22 mnist-dataset 22 self-supervised-learning 22 artificial-neural-networks 22 mlp 21 natural-language-processing 20 principal-component-analysis 20 image-classification 20 autoencoder-neural-network 20 feature-extraction 20 word2vec 19 cifar10 19 random-forest 19 logistic-regression 19 collaborative-filtering 18 encoder-decoder 18 fraud-detection 16 isolation-forest 16 matplotlib 16 kmeans-clustering 16 machine-learning-algorithms 16 visualization 16 style-transfer 16 lstm-neural-networks 16 opencv 16 ml 14 generative-models 14 encoder 14 image-generation 14 feature-engineering 14 xgboost 14 image-compression 14 compression 14 outlier-detection 14 seq2seq 14 pandas 14 scikit-learn 13 resnet 13 streamlit 13 vae-pytorch 13 dcgan 13 gans 13 vgg16 13 semi-supervised-learning 13 dimension-reduction 13 linear-regression 13 decoder 13