GitHub topics: autoencoder

Repositories

priyanshujiiii/ConvolutionAutoEncoder

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Sirius147/img-transforming-Neural-Nets-Studying

image transformation

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ksasso1028/indi-debanding

Image Debanding using Inversion by Direct Iteration

Language: Python - Size: 65.4 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1

varshithdupati/transaction-fraud-detection

Machine Learning pipeline for financial transaction fraud detection. Incorporates SMOTE, ensemble models, neural networks.

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AllenCellModeling/pytorch_integrated_cell

Integrated Cell project implemented in pytorch

Language: Python - Size: 125 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 44 - Forks: 13

lucasddoliveira/Soft-Sensor-AI

This repository aims to serve the development of a soft sensor, resulting from the partnership between UFPB (Federal University of Paraiba) and Cagepa (water and sewage company of Paraiba), which will be used in maintenance operations at a Cagepa facility.

Language: Python - Size: 466 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

verneylmavt/st-nba-vis

A collection of NBA analysis and visualization

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angeligareta/image-colorization

This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.

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ChaitanyaK77/Advanced_Image_Reconstruction_Autoencoders.

Advanced Image Reconstruction using Autoencoders is a project that explores the application of convolutional autoencoder models to enhance image quality. It employs sophisticated algorithms to intelligently reconstruct images, aiming to improve clarity and retain important details.

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AuxEtoiles/Landmark-Classification-and-Tagging-for-Social-Media

Building models to automatically predict the location of the image based on any landmark. Machine Learning design process end-to-end : by deploying an app based on the best trained CNN model.

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rtjoa/deep-face-morph

Compares significant features in faces with a convolutional autoencoder and PCA.

Language: Python - Size: 4.37 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

arman-aminian/lofi-generator

Music(Lo-fi) generation using deep learning techniques.

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muxamilian/wysiwyh

A neural net to transform a video into audio in real time.

Language: Python - Size: 22.4 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 21 - Forks: 3

yanexr/BVDB-anomaly-detection

Methods of Anomaly Detection for Pain Recognition in Biophysiological Time Series - Bachelor Thesis

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FlowFrontiers/AutoFlow

Supporting page for the manuscript titled, "AutoFlow: An Autoencoder-based Approach for IP Flow Record Compression with Minimal Impact on Traffic Classification."

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KU-Gen-AI-2567/Autoencoder-demo

Assignment in GenAI

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podgorskiy/GPND

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Language: Python - Size: 5.71 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 129 - Forks: 31

maturk/ObjectReconstructor

Autoencoder for 3D shape reconstruction from synthetic RGB-D images

Language: Python - Size: 12.6 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

greenelab/BioBombe

BioBombe: Sequentially compressed gene expression features enhances biological signatures

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Tusharkn12/Intelligent-Fault-Detection-IFD

IFD: A fault detection tool in electrical system

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M4hmood/Anomaly-Detection_Deep-Learning

This is a neural network model (Autoencoder) implemented to detect DDOS (Distributed Denial of Service) anomalies in IOT sensor data (such as blood pressure, heart rate etc...).

Language: Python - Size: 1000 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Cr33zz/Neuro_

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

Language: C++ - Size: 238 MB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 38 - Forks: 8

lucaswychan/Retinal-Vessel-Segmentation

Use Autoencoder to perform automatic segmentation of retinal vessels.

Language: Python - Size: 5.33 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

tgsmith61591/smrt

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Language: Python - Size: 81 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 126 - Forks: 26

juliuszlosinski/Imbalanced-Data-Problem-for-Image-Detection-One-Stage-Detectors

Implementation of augmentation, SMOTE, ADASYN, AE, DGAN for oversampling image data used in detection (YOLO and others one stage detectors). Maritime flags/code scenario.

Language: Python - Size: 2.76 GB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Snigdho8869/AI-Generative-Models-Notebooks-DCGAN-VAE-Autoencoder

This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.

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PengKuang/team_scalable_timeseries

Group 13's project for the WASP course: Scalable Data Science and Distributed Machine Learning

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KauaHenSilva/python_autoencoders

The project aims to develop a system that automatically compresses and reconstructs data using autoencoders, a type of artificial neural network.

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despoisj/LatentSpaceVisualization

Visualization techniques for the latent space of a convolutional autoencoder in Keras

Language: Python - Size: 863 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 196 - Forks: 49

GlastonburyGroup/CardiacDiffAE_GWAS

Official code for the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"

Language: Python - Size: 105 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

ishmav16/Dual-CNN-Models-for-Unsupervised-Monocular-Depth-Estimation

Dual CNN Models for Unsupervised Monocular Depth Estimation

Language: Python - Size: 2.71 MB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 37 - Forks: 10

Abdelrahman-Amen/Denoising_AutoEncoder

This project integrates Autoencoders, PCA, and CNNs for efficient image processing, combining dimensionality reduction, denoising, and enhanced feature extraction for image analysis and compression.

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hoomanbing/Outlier-Detection-and-Removal-from-Multimedia

Detection and removal of specific types of outliers present in different data formats which includes detection and removal of contextual outliers from textual data using LOF, outliers from tabular numeric data using LOF, gaussian noise from image data using NLM.

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zitonghuangcynthia/Simultaneous-Weight-and-Architecture-Optimization

[NeurIPS 2024 FITML Workshop] This is the official code for the paper "Simultaneous Weight and Architecture Optimization for Neural Networks"

Language: Python - Size: 945 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

goamegah/pytorch-stc

PyTorch implementation of Self-training approch for short text clustering

Language: Python - Size: 16.9 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

goamegah/Short-Text-Clustering

Short text clustering methods through differents approaches

Language: Python - Size: 259 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

statsim/vis

Visualize high-dimensional data

Language: JavaScript - Size: 3.06 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

EPSOFT/Autoencoder

Autoencoder

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Coldhawk/Working-with-GANs-and-PINNs

Working with GANs and PINNs for Deep Learning for Science Course

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LohiyaH/AI-Based-Fraud-Detection

A comparative analysis of machine learning and deep learning algorithms for fraud detection, featuring XGBClassifier, CatBoostClassifier, and LGBMClassifier, as well as ANN, CNN, RNN, LSTM, and Autoencoders for performance benchmarking

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RubensZimbres/Repo-2016

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Language: Python - Size: 5 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 107 - Forks: 114

Pseudomanifold/bestiary-autoencoders

A Bestiary of Autoencoders

Language: Python - Size: 11.7 KB - Last synced at: 24 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

NahuelCostaCortez/rapidae

Explore, compare and develop autoencoder models with a back-end agnostic framework

Language: Python - Size: 16.6 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 16 - Forks: 0

muhd-umer/aecc

AeCC: Autoencoders for compressed communication

Language: Python - Size: 208 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

Neel7317/Generative-Models

Basic to advanced level of generative model with code.

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Armin-Abdollahi/Machine-Learning

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Mehrab-Kalantari/Autoencoder-Image-Retrieval

Image retrieval using a simple autoencoder on CIFAR-10 dataset

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niazangels/vae-pokedex

The companion code for How to Autoencode your Pokemon

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aurelienmorgan/abnormal_vibrations_watchdog

Time Series Anomaly detection. The monitored signal is made-up of machinery vibration sensor measurements.

Language: Python - Size: 8.71 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 2

hwalsuklee/tensorflow-mnist-AAE

Tensorflow implementation of adversarial auto-encoder for MNIST

Language: Python - Size: 1.34 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 87 - Forks: 27

AMfeta99/Generative_AI

This repository is a comprehensive resource for mastering generative AI, featuring in-depth notes and exciting projects. The goal is to stay updated with the latest advancements in generative AI, and explore applications in image & video generation, creative content creation. Explore the limitless possibilities of generative AI today!

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mpatacchiola/tensorbag

Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.

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IAmFarrokhnejad/Wine-Quality-Classification

Wine Quality Classification Using Deep Learning

Language: Python - Size: 104 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

ilayoeli/Deep-Learning-Graphical-Models

Repository containing projects and assignments from 'Introduction to Graphical Models and Deep Learning' Course taken at BGU

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MsnAmiri/Progressive-Attention-based-Single-Image-Deraining

A single image deraining training and testing code with detailed explanations.

Size: 698 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

tjkessler/smiles-autoencoder

Autoencoder for SMILES strings

Language: Python - Size: 37.1 KB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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.

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zichunhao/lgn-autoencoder

Lorentz group equivariant autoencoders based on Lorentz Group Network

Language: Python - Size: 6.12 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 3

Ant0in/Projet5-IA

Autoencoder python implementation for Machine Learning and image reconstruction (with noise).

Language: Python - Size: 762 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

kangchengX/market-regime

Identify regimes in financial markets based on multivariate time series data using multiple methodologies, including CNN, AutoEncoder, Siamese Model, Correlation Matrices, K-means++, and Hierarchical Clustering

Language: Python - Size: 1.09 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

priyavrat-misra/image-colorizer

A deep residual auto-encoding approach to colorize images.

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Ajithbalakrishnan/3D-Object-Reconstruction-from-Multi-View-Monocular-RGB-images

Hybrid Ensemble Approach For 3D Object Reconstruction from Multi-View Monocular RGB images

Language: Python - Size: 112 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 65 - Forks: 15

Harry24k/MIDA-pytorch

PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

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kreasof-ai/deep-compression-autoencoder

DC-AE (Deep Compression Autoencoder)

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felixdittrich92/Document_Scanner

this repository contains utils for post processing scanned documents and classify any kind of document for the given labels

Language: Python - Size: 51.9 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 4

mrdvince/autoencoders

Autoencoders are neural networks used for data compression, image de-noising, and dimensionality reduction. Using PyTorch.

Language: Python - Size: 338 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0

madhawav/PlayWithAutoEncoders

Image Compression on COCO Dataset using Convolution AutoEncoders

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iAdtya/Shoppin-AI

Image Similarity Search By Different Models and Methods

Language: Python - Size: 7.69 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sammedkamate/movie-recommender-system

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kyuhyeokseo/SNU_DNNM

SNU_Mathematical Foundations of Deep Neural Networks_HW

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BIMSBbioinfo/maui

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

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shayneobrien/generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Language: Jupyter Notebook - Size: 143 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 498 - Forks: 73

codeperfectplus/autoEncoders

Deep convolutional autoencoder for image denoising

Language: PureBasic - Size: 11.1 MB - Last synced at: 26 days ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1

tnybny/Frame-level-anomalies-in-videos

Frame level anomaly detection and localization in videos using auto-encoders

Language: Python - Size: 81.1 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 64 - Forks: 19

AaashrafHabib/RAFT

Implementation of RAFT (Recurrent All-Pairs Field Transforms) for dense optical flow estimation, using an all-pairs correlation volume and iterative refinement for precise motion prediction between video frames.

Language: Jupyter Notebook - Size: 24 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

erfan-mtzv/Image_Compression_AutoEncoder_MLP_from_scratch

This repository implements multilayer perceptron (MLP) autoencoders for image compression and evaluates their performance using metrics like PSNR and MSE. It includes functionality for data loading, image reconstruction, and performance evaluation.

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erfan-mtzv/Adjustable_Layer_MLP_Autoencoder_MNIST_Image_Compression_from_scratch

Custom MLP Autoencoder from scratch for MNIST digit image compression and reconstruction. Adjustable layers, neurons, and training features.

Language: Jupyter Notebook - Size: 2.83 MB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

pratycodes/Stock-Sentry

Anomaly Detection in Stock Prices using LSTM Autoencoder

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sebastianbreguel/HyperbolicEmbedding

This is a repository to investigation how to generate music based in Hyperbolic Embeddings

Language: Python - Size: 220 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Research-and-Project/ConvDAE

convolutional denoising autoencoder

Language: Python - Size: 44.5 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 5

santiago-puch-giner/deeplearning-playground

Deep Learning courses, tutorials and examples with TensorFlow and PyTorch

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iamvisheshsrivastava/Autoencoder-Optimization-Anomaly-Detection

This repository contains code for optimizing autoencoders for anomaly detection, with a comparative study against traditional shallow algorithms (ADBENCH). It includes implementations of multiple models and scripts for evaluating their performance on benchmark datasets.

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luiswirth/matura 📦

Files regarding the matura thesis (2019) of Luis Wirth at the Gymnasium Oberwil

Language: TeX - Size: 33.2 MB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

MzamoTembe/autoencoder

An autoencoder designed for dimensionality reduction of a protein structure's feature space that describes the structural environment of an amino acid by looking at the relative relative positions, orientations and dihedral angles of neighbouring residues in Euclidean space.

Language: Python - Size: 18.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0