autoencoder-neural-network

There are 3 repositories under autoencoder-neural-network topic.

jbramburger / DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
data-science dynamical-systems dynamic-mode-decomposition physics-informed-neural-networks machine-learning sindy-algorithm sindy autoencoder-neural-network autoencoder autoencoders conservation-laws extended-dynamic-mode-decomposition poincare-map stroboscopic-map time-delay forecasting kernel-methods neural-network universal-approximation-theorem physics-informed-learning
Language:Jupyter Notebook 75
slrbl / malicious-urls-detection-with-autoencoder-neural-networks
Detecting malicious URLs using an autoencoder neural network
autoencoder-neural-network malicious-urls-detection enriched-data anomaly-detection anomalydetection malware-classifier malware-classification intrusion-detection detect-intrusions
Language:Python 40
DeepRecommender
Chinmayrane16 / DeepRecommender
Training Deep AutoEncoders for Collaborative Filtering
autoencoder-neural-network mmse deep-autoencoders deep-learning movielens-dataset recommendation-system research-paper pytorch-implementation state-of-the-art
Language:Jupyter Notebook 22
gd-vae / gd-vae
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
autoencoder-neural-network deep-learning dimension-reduction dynamical-systems geometric-algorithms geometric-deep-learning latent-spaces machine-learning manifold-learning neural-networks parameterized-systems point-cloud pytorch-implementation topological-data-analysis variational-autoencoder
Language:TeX 22
Greveley / AutoEncoderImageDenoise
Using convolutional autoencoders to remove random noise from seismic data.
autoencoder-neural-network seismic-data denoise imageprocessing
Language:Jupyter Notebook 16
xxl4tomxu98 / autoencoder-feature-extraction
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
autoencoderscompression autoencoder-neural-network sequence-to-sequence variational-autoencoders convolutional-autoencoder autoencoder-denoising autoencoder-classification autoencoder-latent-layer gradient-boosting-machine light-gradient-boosting-machine xgboost-classifier histgram-gradient-boosting
Language:Jupyter Notebook 11
MicroNN
jczic / MicroNN
Micro neural network with multi-dimensional layers, multi-shaped data, fully or locally meshing, conv2D, unconv2D, Qlearning, ... for test!
convolutional-neural-networks neural-network deep-learning reinforcement-learning qlearning python neurons machine-learning artificial-intelligence q-learning convolutional-autoencoder autoencoder-neural-network mlp-classifier neural-networks jczic
Language:Python 10
ksasso1028 / audio-reverb-removal
Code to train a custom time-domain autoencoder to dereverb audio
audio-denoising audio-machine-learning denoising denoising-autoencoders dereverberation audio audio-ai audio-ml autoencoder autoencoder-neural-network convolutional-neural-networks demucs dsp multi-task-learning pytorch time-domain convtasnet
Language:Python 9
Generative-Adversarial-Networks-Specialization-DeepLearning.ai
azminewasi / Generative-Adversarial-Networks-Specialization-DeepLearning.ai
All course material and codes of Generative Adversarial Networks Specialization offered by DeepLearning.ai
autoencoder autoencoder-neural-network autoencoders gan generative-adversarial-network generative-art generative-model generative-models neural-network python pytorch tensorflow tensorflow2
Language:Jupyter Notebook 8
CAG9 / Autoencoder-Feature-Extraction
Autoencoder for Feature Extraction
autoencoders autoencoder-classification autoencoder-neural-network self-supervised-learning tensorflow2 autoencoders-tensorflow
Language:Jupyter Notebook 4
VNDhanush / Satellite-Image-Enhancement
Image enhancement using GAN's and autoencoders
python gans autoencoder-neural-network
Language:Java 4
DevMilk / Gemerator
Gemerator is an autoencoder based mixed gem image generator, also it has a website and web service written in Django and Flask and deployed using PythonAnywhere and Google Cloud, Respectively
autoencoders autoencoder-neural-network deep-learning deep-neural-networks image-generation gemstone
Language:JavaScript 3
nafiul-araf / Anomaly-Detection
Anomaly detection (also known as outlier analysis) is a data mining step that detects data points, events, and/or observations that differ from the expected behavior of a dataset. A typical data might reveal significant situations, such as a technical fault, or prospective possibilities, such as a shift in consumer behavior.
anomaly-detection pyod statistical-analysis zscore outliers knn-classification iforest-model inliers anomoly-score minimum-covariance local-outlier-factor one-class-svm visualization neural-network cnn-keras autoencoder-neural-network
Language:Jupyter Notebook 3
praveengadiyaram369 / Activityrecognition_GaussianLDA
Gaussian Latent Dirichlet Allocation
machine-learning deep-learning latent-dirichlet-allocation human-activity-recognition python keras sklearn fastapi sensor-data gaussian feature-extraction lstm-neural-networks autoencoder-neural-network codebook histogram-matching svm-classifier random-forest-classifier kmeans kmeans-clustering gmm-clustering
Language:Jupyter Notebook 3
VaishnaviKrishna / bias-field-correction
Bias field correction for T-1 weighted MRI images for tumor detection
autoencoder-neural-network deep-neural-networks neuroimaging python3
Language:Jupyter Notebook 3
Aadit3003 / Diabetic-Retinopathy_Autoencoder
Autoencoder-based Feature Selection for the SN_DREAMS diabetic retinopathy dataset. (With Prof. S. Raman)
autoencoder-neural-network
Language:Jupyter Notebook 2
GiacomoLeoneMaria / A-brief-introduction-to-autoencoders
A gentle introduction to autoencoders with examples
autoencoder-neural-network autoencoders image-denoising
Language:Jupyter Notebook 2
nafiul-araf / BFND-System
This is my academic thesis work (individual). Submitted in partial fulfilment of the requirements for Degree of Bachelor of Science in Computer Science & Engineering
autoencoder-neural-network bnlp deep-learning ensemble-machine-learning hashing hybrid-model machine-learning
Language:Jupyter Notebook 2
tabithaks / Capstone-GE-Asset-Tracking
Columbia University Data Science Master Capstone Project. The goal of this project was to cluster trajectories by shape for later optimization.
spatiotemporal-data-analysis distance-measures unsupervised-clustering neural-networks autoencoder-neural-network lstm-neural-networks
Language:Jupyter Notebook 2
toledoangel / automatic-image-brightness-adjustment
An automatic adjustment model is developed for brightness adjustment in images.
autoencoder-neural-network computer-vision convolutional-neural-networks machine-learning python
Language:Jupyter Notebook 2
AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders
Autoencoder is a type of neural network where the output layer has the same dimensionality as the input layer. In simpler words, the number of output units in the output layer is equal to the number of input units in the input layer. An autoencoder replicates the data from the input to the output in an unsupervised manner and is therefore sometimes referred to as a replicator neural network. The autoencoders reconstruct each dimension of the input by passing it through the network. It may seem trivial to use a neural network for the purpose of replicating the input, but during the replication process, the size of the input is reduced into its smaller representation. The middle layers of the neural network have a fewer number of units as compared to that of input or output layers. Therefore, the middle layers hold the reduced representation of the input. The output is reconstructed from this reduced representation of the input.
autoencoders autoencoder deeplearning imagecompression convolutional-neural-networks encoder-decoder image-processing machine-learning autoencoder-neural-network autoencoderscompression autoencoder-architecture
Language:Jupyter Notebook 1
afsanamimii / Anomaly_Detection_In_CCTV_Footages
This project detect anomalous event in CCTV footage. For the training purposes only normal events are used. When any violence or anomalous event happen the model can detect it.
autoencoder-neural-network computer-vision tensorflow
Language:Jupyter Notebook 1
AniketP04 / Credit-Card-Fraud-Detection
This project is used to detect a credit card fraud detection in an unsupervised manner. An autoencoder- based. an autoencoder with two hidden layer clustering model is build. an autoencoder with two hidden layer and K-means clustering unsupervised machine learning algorithm is used. The data has been taken from Kaggle
autoencoder-neural-network clustering h2o-framework unsupervised-learning
Language:Jupyter Notebook 1
Ardawanism / Autoencoder_ML_KNTU_Spring2024
In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).
autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning
Language:Jupyter Notebook 1
dariush-bahrami / MyAutoencoders
My implementation of autoencoders
autoencoder autoencoder-neural-network deep-learning deep-neural-networks encoder-decoder-architecture encoder-decoder-model neural-network pytorch-implementation
Language:Python 1
Deepesh-Tank / Movie-Recommender-System
Recommender System in python using autoencoders as part of Data Mining project
datamining autoencoder-neural-network pytorch recommendation-engine
Language:Jupyter Notebook 1
irfixq / Investigate_WAE_in_BrainMRI
This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.
autoencoder autoencoder-neural-network wasserstein-gan wasserstein-autoencoder deep-neural-networks anomaly-detection unsupervised-anomaly-detection brain-mri-images
Language:Python 1
MediaBilly / Autoencoder-And-Classifier-For-MNIST-Handwritten-Digits
neural-networks image-classification mnist-dataset autoencoders autoencoder-neural-network autoencoder-classification
Language:Python 1
MediaBilly / Image-Similarity
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
neural-networks machine-learning data-science image-similarity image-classification mnist-dataset linear-programming earth-movers-distance clustering nearest-neighbor-search lsh hypercube dimensionality-reduction autoencoder autoencoder-neural-network autoencoder-classification
Language:C++ 1
rakibhhridoy / ImageDenoisingUsing-AutoEncoders
Filtering out the noise presented in the image by auto-enconder algorithm in TensorFow and Keras. Rare images, unclean crime images,medical noise images can be denoised and find out the desired outcome by using auto-encoders.
autoencoder autoencoder-architecture autoencoder-neural-network deep-learning image-clean image-denoising keras python tensorflow theory
Language:Jupyter Notebook 1
xxl4tomxu98 / convolutional-autoencoder-keras-tensorflow
Text Digit Character Computer Vision using convolutional autoencoder
convolutional-autoencoder opencv-python mnist-handwriting-recognition mnist-classification autoencoder-neural-network autoencoder-classification keras-tensorflow cnn-keras cnn-tensorflow computer-vision
Language:Jupyter Notebook 1
amishra15 / enhancing-motion-blurred-images-in-normal-and-low-light-condition-for-mobile-photography
DATA: 606 | Capstone Project
autoencoder-neural-network cnn-architecture deep-learning exploratory-data-analysis gan image-processing unet-keras
Language:Jupyter Notebook 0
invcble / Disaster-Risk-Analysis-Platform
Natural Disaster Analysis Website using Deep Learning & Poisson Distribution
autoencoder-neural-network aws-ec2 flask-application web-application deep-learning
Language:Jupyter Notebook 0
tgaurav7 / Machine-Learning
Application of Machine Learning tools from Python
autoencoder-mnist autoencoder-neural-network classification cnn-keras deep-neural-networks lstm-neural-networks machine-learning-algorithms outlier-detection regression signal-analysis time-series-analysis time-series-forecasting variational-autoencoder
Language:Jupyter Notebook 0
HayatiYrtgl / autoencoder_colorization
Colorizes grayscale images using a loaded model and displays original and predicted colorized versions.
autoencoder autoencoder-architecture autoencoder-neural-network colorization colorize-image keras python
Language:Python
HayatiYrtgl / autoencoder_deblurring
Python autoencoder to remove blur from images
autoencoder autoencoder-neural-network autoencoders keras python python3 tensroflow
Language:Python

autoencoder-neural-network

jbramburger / DataDrivenDynSyst

slrbl / malicious-urls-detection-with-autoencoder-neural-networks

Chinmayrane16 / DeepRecommender

gd-vae / gd-vae

Greveley / AutoEncoderImageDenoise

xxl4tomxu98 / autoencoder-feature-extraction

jczic / MicroNN

ksasso1028 / audio-reverb-removal

azminewasi / Generative-Adversarial-Networks-Specialization-DeepLearning.ai

CAG9 / Autoencoder-Feature-Extraction

VNDhanush / Satellite-Image-Enhancement

DevMilk / Gemerator

nafiul-araf / Anomaly-Detection

praveengadiyaram369 / Activityrecognition_GaussianLDA

VaishnaviKrishna / bias-field-correction

Aadit3003 / Diabetic-Retinopathy_Autoencoder

GiacomoLeoneMaria / A-brief-introduction-to-autoencoders

nafiul-araf / BFND-System

tabithaks / Capstone-GE-Asset-Tracking

toledoangel / automatic-image-brightness-adjustment

AdityaTheDev / ReconstructionOfImage-Using-DeepAutoEnccoders

afsanamimii / Anomaly_Detection_In_CCTV_Footages

AniketP04 / Credit-Card-Fraud-Detection

Ardawanism / Autoencoder_ML_KNTU_Spring2024

dariush-bahrami / MyAutoencoders

Deepesh-Tank / Movie-Recommender-System

irfixq / Investigate_WAE_in_BrainMRI

MediaBilly / Autoencoder-And-Classifier-For-MNIST-Handwritten-Digits

MediaBilly / Image-Similarity

rakibhhridoy / ImageDenoisingUsing-AutoEncoders

xxl4tomxu98 / convolutional-autoencoder-keras-tensorflow

amishra15 / enhancing-motion-blurred-images-in-normal-and-low-light-condition-for-mobile-photography

invcble / Disaster-Risk-Analysis-Platform

tgaurav7 / Machine-Learning

HayatiYrtgl / autoencoder_colorization

HayatiYrtgl / autoencoder_deblurring