Sardhendu/PropertyClassification

Classifying the type of property given Real Estate, satellite and Street view Images

Language: Jupyter Notebook - Size: 157 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 32 - Forks: 11

hadoov/GHRS

GHRS: Graph-based hybrid recommendation system with application to movie recommendation

Language: Python - Size: 9.65 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 34 - Forks: 13

davidggz/SelfDrivingInKohonenCircuits

Este repositorio contiene la implementación de un agente de Conducción Autónoma basado en Deep Learning y de un sistema de generación de circuitos aleatorios con mapas de Kohonen.

Language: C# - Size: 125 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

wecarsoniv/augmented-pca

Repository for the AugmentedPCA Python package.

Language: Python - Size: 63 MB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 10 - Forks: 0

EnAnsari/Bachelor-final-project

This repository contains my final bachelor project. This project includes the presentation and explanation of an article about converting thoughts into text

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AminBoumerdassi/EMRI_signal_detection

Detecting GW signals from extreme mass ratio inspirals using convolutional autoencoders

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ardamavi/Unsupervised-Classification-with-Autoencoder

Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.

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michael-psenka/manifold-linearization

Companion repository for the paper "Representation Learning via Manifold Flattening and Reconstruction"

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PratikMishra/AnomalyThresholds

Code for the paper "Empirical Thresholding on Spatio-temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit".

Language: Python - Size: 110 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

Dutta-SD/CropDiseasePredictionApp

This app predicts the disease of the leaf image of the given plant using Deep Learning

Language: Python - Size: 140 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 2

richardRadli/autoencoders_for_visual_defect_detection

Implementation of paper: Rádli, R., & Czúni, L. (2021). About the Application of Autoencoders for Visual Defect Detection.

Language: Python - Size: 3.59 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Nishant2018/AutoEncoder-Generative-AI-MNIST

Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.

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Ivan-Zhou/Anomaly_Detection

Language: Jupyter Notebook - Size: 380 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 4

ssnajme/HVAEs

The Hybrid Variational Autoencoders combine the strengths of Variational Autoencoders and latent variable models, to effectively process and generate complex data.

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FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

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JustinShenk/simages

Find duplicates and similar images in a folder

Language: Python - Size: 22.6 MB - Last synced at: 27 days ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 3

Novartis/peax

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

Language: Jupyter Notebook - Size: 52.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 68 - Forks: 15

BRN-Hub/anon-compression

Anonymizing faces in neural network compression

Language: Python - Size: 62.5 KB - Last synced at: about 10 hours ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

mahmoudnafifi/Deep_White_Balance

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Language: Python - Size: 103 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 536 - Forks: 69

ClaudMor/gravity_gae_torch_geometric

Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.

Language: Python - Size: 904 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

jsn5/dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Language: Python - Size: 1.67 MB - Last synced at: 6 months ago - Pushed at: over 5 years ago - Stars: 513 - Forks: 82

Laoode/Fingerprint_Recognition

Biometrics Recognition Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)

Language: Jupyter Notebook - Size: 123 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

mpreyb/offaxis_autofocus

The proposed hybrid model aims to deliver both aberration-free in-focus amplitude and phase reconstructions, while accurately predicting in-focus distances, from out-of-focus holograms. The tasks were handled independently with the aim of later merging them.

Language: Python - Size: 191 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

AcanthusW/TEMPO_Line_Research

A combine research process of radio astronomy, including line identification, spectrum fitting, dimension reduction, and clustering analysis.

Language: Python - Size: 16.5 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AxelGoetz/website-fingerprinting

Automatic Feature Generation for Website Fingerprinting

Language: Python - Size: 22.4 MB - Last synced at: 6 months ago - Pushed at: about 8 years ago - Stars: 30 - Forks: 9

LumenPallidium/audio_generation

Experiments in neural networks for audio generation.

Language: Python - Size: 682 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0

hiram64/3D-Similarity-Search

similar data search for 3D voxel data

Language: Python - Size: 1.17 MB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 5

drishtiramesh/Image-Compression-and-Regeneration-Using-Variational-Autoencoders

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: about 16 hours ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

CyprienGille/Diagnostic-SAE-GUI

A supervised autoencoder and its GUI for cost-less thyroid nodule prognosis.

Language: Python - Size: 120 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

Vidhi1290/Text-Classification-with-Transformers-RoBERTa-and-XLNet-Model

This project explores advanced NLP techniques using RoBERTa and XLNet models to classify human emotions from textual data. By leveraging robust training and optimization methods, it aims to enhance emotion detection accuracy in applications like social media analysis and customer support.

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Anne-Andresen/Autoencoder_3D_C_CUDA

3D Autoencoder training in raw C/CUDA

Language: Cuda - Size: 96.7 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

jldbc/Tensorflow_ML_Algorithms

Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression

Language: Python - Size: 12.7 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 54 - Forks: 22

w00zie/wae_music

Music generation with Wasserstein Autoencoders

Language: Python - Size: 3.72 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

aedera/anc2vec

Unsupervised neural network for learning embeddings of GO terms.

Language: Python - Size: 72.9 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 9

andi611/ZeroSpeech-TTS-without-T

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Language: Python - Size: 99.2 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 112 - Forks: 12

Orestouio/Algorithmic-Software-Development

Algorithmic problem-solving project using autoencoders for dimension reduction, nearest neighbor search algorithms, and K-means clustering. Developed as part of a university course on software development for algorithmic problems.

Language: C++ - Size: 2.39 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AprilYuge/scAAnet

Single-cell archetypal analysis neural network

Language: Jupyter Notebook - Size: 72.3 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 14 - Forks: 1

dlegor/rad

Implementation of Robust PCA and Robust Deep Autoencoder over Time Series

Language: Python - Size: 3.37 MB - Last synced at: 25 days ago - Pushed at: about 5 years ago - Stars: 14 - Forks: 5

tianshuichen/Wavelet-like-Auto-Encoder

Language: Shell - Size: 22.5 KB - Last synced at: 18 days ago - Pushed at: over 7 years ago - Stars: 64 - Forks: 21

gentaiscool/cnn-autoencoder-tf

CNN and Contrastive Autoencoder (CAE) on EMNIST using Tensorflow

Language: Python - Size: 96 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 6

YeongHyeon/Context-Encoder

TensorFlow implementation of "Context Encoders: Feature Learning by Inpainting" with CelebAMask-HQ Dataset.

Language: Python - Size: 141 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

senior-sigan/denoise-autoencoder

Denoise audio with convolutional autoencoder

Language: Jupyter Notebook - Size: 45.3 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 16 - Forks: 5

phpfontana/autoencoders

Autoencoder based models, utilities for training and evaluation using PyTorch

Language: Python - Size: 122 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

vlukiyanov/pt-avitm

PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)

Language: Python - Size: 2.68 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 36 - Forks: 6

SUGAM2001/Neural-Network-Deep-learning

This repo contains a series of PPT on neural networks.

Size: 19.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

jaimeperezsanchez/Collision_Avoidance_Challenge_Deep_Learning

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 1

liyifu93/Final-Project-Group4

This is the Final Project for DATS 6203 Machine Learning II of George Washington University.

Language: Python - Size: 126 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

thillai-c/Continual-LIGO-Glitch-Classification

This project implements a continual learning architecture for detecting glitches in the LIGO dataset using Vision Transformer, CNN, and Autoencoder models. Leveraging the Avalanche framework, it explores strategies like Naive and Replay to adaptively learn from successive data streams while mitigating catastrophic forgetting.

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N4321D/Variational-Autoencoder-Demo

Variational AutoEncoder for Pattern Detection Demo

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jianguoz/Seq2Seq-Gan-Autoencoder

GAN and Seq2Seq

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etechoptimist/logRCA_toolkit

This repository focuses on log analysis and anomaly detection - root cause analysis-. Skills: pytorch, tensorflow, transformer, huggingface, fastapi

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Mahan-M47/Autoencoder-Image-Reconstruction

A PyTorch autoencoder desgined to reconstruct two separate images when given a combination of them.

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farhanbham/Intraday-trader

OHLCV Ethereum data is transformed using an encoder-decoder network. The transformed data is input into an LSTM model that predicts the asset price in 24 hours. These forecasts are used to create buy and sell signals which were back-tested producing a Sharpe ratio of 1.45. The code was run various times end-to-end producing similar results.

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jalalgh7/graph-representation-learning-for-NIDS

A graph representation learning framework for detecting attacks using the dynamic graph structure of network data.

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theodore-brucker/COS-475-Project

Final project for COS 475 Machine Learning - Implements multiple methods for anomaly detection on network traffic datasets

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deepmancer/timeseries-anomaly-detection

Analysis of Classical Machine Learning Algorithms for Anomaly Detection in Time Series Data

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AI-secure/T3

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Language: Python - Size: 37.7 MB - Last synced at: 14 days ago - Pushed at: over 3 years ago - Stars: 26 - Forks: 1

xoolive/artefact

Autoencoder t-SNE for anomaly detection in aircraft trajectories

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 3

S3gmentati0nFaultUni/autoencoders

Autoencoders implementation for the 8th sheet of the course of Machine Learning and Physics at Heidelberg University

Language: Jupyter Notebook - Size: 6 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

curiousbrutus/fNIRS-Vise

NIRS-VIS is a Master Thesis Project for decoding visual stimuli from fNIRS brain data with transformers and autoencoders via Pytorch

Language: Jupyter Notebook - Size: 129 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

g4vrel/AAE

A PyTorch implementation of Adversarial Autoencoders

Language: Python - Size: 618 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

gupaulasan/playlist-continuation

Spotify playlist continuation using deep learning

Language: Jupyter Notebook - Size: 51.1 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Sam-Coding77/AutoSteganography

AutoSteganography is a tool for encoding and decoding stegnographic images using Autoencoders

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ceenaa/AutoEncoder

Auto encoder implemented with pytorch for image compression

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

saman-nia/Deep-Neural-Networks-for-Clustering

Deep Learning Clustering with Tensor-Flow in Python

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 11

Ronnn007/GenerativeAI

Exploring AutoEncoders, GANs and Transformers

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dsgiitr/VisualML

Interactive Visual Machine Learning Demos.

Language: CSS - Size: 70.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 114 - Forks: 23

Aayushktyagi/Autoencoders

How I learned Autoenocders models

Language: Python - Size: 4.9 MB - Last synced at: 10 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1

bvpsk/Variational-Auto-Encoder-VAE-

Implementing VAE in keras and training on CelebA dataset

Language: Jupyter Notebook - Size: 10 MB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

HunchPounch/DeepLearning-notebooks-DLS

Deeplearning (pytorch, transformers, GANs, BERT, RNNs)

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Pavithra2206/Deep-Learning

This repository contains all the notebooks, datasets and projects that have been implemented as a part of my Tensorflow 2 Keras bootcamp.

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unixpickle/tweetenc

An auto-encoder for tweets

Language: Go - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 1

SajjadHm/VAE-CVAE

Variational Auto Encoder and Conditional Variational Auto Encoder Implementation

Language: Jupyter Notebook - Size: 2.57 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SajjadHm/VQ-VAE

Vector Quantized Variational Auto-Encoder (VQ-VAE): Neural Discrete Representation Learning

Language: Jupyter Notebook - Size: 18 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

SulekBartek/Anomaly_detection_MVtec

Anomaly detection autoencoder model with a focus on industrial images inspection.

Language: Jupyter Notebook - Size: 71.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

JersonGB22/GenerativeDeepLearning

Links to my works, where a variety of generative models are implemented using TensorFlow and PyTorch. Among the implemented models are Autoencoder, VAE, GAN, Pix2Pix, among others.

Size: 940 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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

arpan132002/Deep-CNN-Autoencoder

Welcome to the Deep CNN Autoencoder project! This repository contains the code and resources for building a deep convolutional neural network (CNN) autoencoder.

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laurahanu/2D-and-3D-Deep-Autoencoder

Convolutional AutoEncoder application on MRI images

Language: Python - Size: 1.05 MB - Last synced at: 10 months ago - Pushed at: over 7 years ago - Stars: 70 - Forks: 14

zemlyansky/autoencoder

Autoencoder.js

Language: JavaScript - Size: 75.2 KB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 2

aedera/deepredmt

Deepred-Mt is a novel method based on deep neural networks to predict C-to-U editing sites in angiosperm mitochondrial RNA.

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 6 - Forks: 2

harmanveer-2546/PREDICTING-CUSTOMER-CHURN-FOR-A-TELECOM-COMPANY

Customer churn is a significant issue for big business companies. Companies are attempting to create methods for predicting customer churn to get a direct impact on getting more revenues, particularly in telecom companies.

Language: Jupyter Notebook - Size: 235 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Hedrax/ImgVox

A machine Learning project that turns a 2D images into 3D voxels using tensorflow implemented AutoEncoder

Language: Jupyter Notebook - Size: 129 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

Youngsiii/KAN_VAE_MNIST

Example of replacing MLP with KAN in autoencoder(AE) and variational autoencoder(VAE)

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

adnankarol/LSTM-Autoencoders-Demo

This is an example to get started with Series data reconstruction with LSTM AUTOENCODERS.

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LeoMartinezTAMUK/Email-Spam_Detector_AutoEncoder

This Machine Learning (ML) Python program aims to detect spam emails using an autoencoder-based learning approach. It first imports necessary libraries for data handling, evaluation metrics, preprocessing, and neural network modeling.

Language: Jupyter Notebook - Size: 604 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

ErfanMomeniii/Anomaly-Detection

Anomaly detection in elevators using sensor data and the LSTM Autoencoder algorithm

Language: Jupyter Notebook - Size: 174 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Hafsa-Shahid/Deep-Learning-with-PyTorch

A Project on Image Segmentation using PyTorch and U-Net Architecture

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comibear/Autoencoders

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

renan-siqueira/autoencoder-research

A comprehensive toolkit built with PyTorch, designed to facilitate the training, evaluation, and visualization of autoencoders. From simple linear autoencoders to convolutional and variational architectures, this project offers an intuitive and expandable framework for anyone delving into the realm of unsupervised learning.

Language: Python - Size: 44.9 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

IParraMartin/Sparse-Autoencoder

A PyTorch implementation of a Sparse Auto Encoder (SAE) using MSE loss and KL Divergence penalty

Language: Python - Size: 288 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

vaibagga/Satellite-Image-Similarity

Major Project

Language: Python - Size: 136 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1

WielkaDraka/Deep-Learning-BM-SOM-AE

This repository contains boltzmann machine, self organizing maps and autoencoder

Language: Python - Size: 349 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

iSiddharth20/Generative-AI-Based-Spatio-Temporal-Fusion

A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)

Language: Python - Size: 22.7 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 12 - Forks: 3

kailas711/PyTorch-Playground

Mini project series based on fundamental deep learning concepts for my practice.

Language: Python - Size: 60.5 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

arianaira/autoencoders-mean-image-reconstruction

Obtaining mean of two images from CIFAR and MNIST and reconstructing the two original images using the mean

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dedhiaparth98/convolution-autoencoder

The Convolutional Autoencoder are not only good regenerators of image but also work on noisy input.

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Shrutakeerti/Twitter-Post-Sentiment-Analysis

Repository Made for Summer Internship at LMNIIT Jaipur '24

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dongeric/nfl-big-data-bowl

Predicting NFL play yardage from autoencoded player tracking data (2019)

Size: 1.99 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

tommasobattisti/Image-inpainting-over-CIFAR-10

The project presents a Deep Learning model with an autoencoder-like architecture making use of convolutional layers in both the encoder and the decoder to perform image inpainting over the CIFAR-10 database images reaching a mean mean-squared error value of 0.007867775.

Language: Jupyter Notebook - Size: 430 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0