jsvir/lscae

Deep unsupervised feature selection by discarding nuisance and correlated features

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MaddipatlaVigneshSrinivas/Variational-Autoencoder

This repository contains code for VAE and CVAE using residual and inverse residual blocks

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codeperfectplus/autoEncoders

Deep convolutional autoencoder for image denoising

Language: PureBasic - Size: 11.1 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 1

mlpapers/neural-nets

Awesome papers on Neural Networks and Deep Learning

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CodingWitcher/reverse-oldification

Using Machine Learning to rejuvenate black and white images ! ~~

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data-datum/deep_learning_onboarding

List of resources for deep learning

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manantomar/Reinforcement-Learning

Contains implementations of various deep RL algorithms and papers including action conditional video prediction | Python | Tensorflow | Open AI gym

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TsLu1s/segmentae

SegmentAE: A Python Library for Anomaly Detection Optimization

Language: Python - Size: 111 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 7 - Forks: 1

shyamsn97/barebones-ai

Machine Learning and Deep Learning algorithms built from scratch

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arjuntheprogrammer/TheSchoolOfAI

Projects for The School of AI

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abdelrahman-gaber/Classification-AutoEncoder

The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.

Language: Python - Size: 117 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

soni-ratnesh/autoencoder

This repository contains implementation of simple, convolution and de-noising autoencoder models in PyTorch.

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mett29/Deep-Learning

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.

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humanlab/WhiSPA

WhiSPA: Whisper Semantically-Psychologically Aligned with Self-Supervised Contrastive Learning

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Devinterview-io/autoencoders-interview-questions

🟣 Autoencoders interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

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GabrieleLozupone/LDAE

Official PyTorch implementation of "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging". LDAE is a novel unsupervised framework for 3D medical imaging that combines a latent diffusion model with semantic controls.

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giorgioroffo/auto-encoders

A Recommender System that predicts ratings from 1 to 5 on MovieLens 1M Dataset

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asdvfghg/Heterogeneous_Autoencoder_by_Quadratic_Neurons

Language: Python - Size: 3.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

spChalk/Time-Series-Forecasting-with-Deep-Learning

:zap: Time series forecasting, anomaly detection with LSTM autoencoders & compression of stock market time series, written in Tensorflow.

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sagnik1511/Conv-AE-Tensorflow-Keras

Convolutional Auto Encoder in Tensorflow >= 2.2.0

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mr-ravin/CNN-Autoencoders 📦

Implementation of CNN based autoencoders for color images in tensorflow.

Language: Python - Size: 2.03 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2

keshavbhandari/Next-Basket-Recommendations

This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencoders, TF-IDF, Attention based BI-LSTM and Transformer Networks

Language: Python - Size: 3.48 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

mrdvince/autoencoders

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

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vishwakftw/extreme-classification 📦

Project Repository for CS6370 : Information Retrieval offered in Fall 2018

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sarthusarth/colorization

Pix2Pix translations using cGAN

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utkarshojha/image-denoising

[ICMLA 2016]: Code for the paper "Denoising high resolution images using deep learning approach"

Language: Python - Size: 3.79 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 2

fg-research/lstm-ae-sagemaker

SageMaker implementation of LSTM-AE model for time series anomaly detection.

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Juanx65/DeepDeconvV2

Deep Deconvolution for Seismic Waves with Real and Simulated Distributed Acoustic Sensing Data: State-of-the-Art Review

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SannyZhou/WURAE_Paraphrase_Identification_CNN_LSTM

Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature

Language: Python - Size: 519 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ramtiin/Credit-Card-Fraud-Detection

In this project, I explore different methods for detecting credit card fraud transactions; including using the Catboost algorithm with undersampling & oversampling methods, and using an almost new approach, by using deep learning and autoencoder.

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AGiannoutsos/End-to-End-Lane-Detection

End to End Lane Detection for autonomous driving. Comparing various Autoencoder models with classic edge detection filters and Hough transforms.

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Gaurav-Pande/Recommendation_systems

Auto encoders based recommendation system

Language: Python - Size: 3.45 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

smlra-kjsce/Cyber-ML-DL-101

Repository of all notebooks used in workshop at NII.

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Tasosan/Recommender_system_AutoEncoders

PyTorch implementation

Language: Python - Size: 14.4 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 0

yjchoe/deep_learning

Implementing neural networks from scratch

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ikhlestov/rbm_based_autoencoders_with_tensorflow

Language: Python - Size: 10.9 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 5 - Forks: 4

saurabhdeshpande93/gp-auto-regression

Language: Python - Size: 65.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

ahmedgh970/adversarial-training

Adversarially Training of Autoencoders for Unsupervised Anomaly Segmentation

Language: Python - Size: 65.4 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

diegoperea20/deep_learning

deep learning , aplication of deep learning , time line , networks deep, autoencoders etc.

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

All course material and codes of Generative Adversarial Networks Specialization offered by DeepLearning.ai

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zuoxiaolei/swj_room_match

特征工程和自编码神经网络匹配相似户型

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Neo2854/pyml

Machine Learning Algorithms from scratch

Language: Jupyter Notebook - Size: 623 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

SiavashShams/Neural-Networks-and-Deep-Learning-Course-Projects

Projects for the Neural Networks and Deep Learning course

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AlexDelitzas/fcdae-neural-signal-denoising

Code for the paper "Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders"

Language: Python - Size: 173 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

palmettos/neat-autoencoders

Evolvable autoencoders for NEAT-Python

Language: Python - Size: 2.07 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

ambareeshravi/Thesis_VideoAnomalyDetection

Thesis work on Video Anomaly Detection

Language: Python - Size: 89 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

hiverkiya/Image-Super-Resolution-Using-Keras

Image Super Resolution Using Autoencoders in Keras

Language: Jupyter Notebook - Size: 1.73 GB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 6

fazildgr8/AppliedDeepLearning

This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied includes Image Classification, Time Series Prediction, Recommendation Systems , Anomaly Detection and Data Analysis.

Language: Jupyter Notebook - Size: 6.04 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

DhavalTaunk08/Text-Segmentation-in-Images

This project aimed to perform text segmentation in images using AutoEncoders.

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TheAILearner/Denoising-Autoencoders-in-Keras

Denoising-Autoencoders-in-Keras

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satwik77/mDA-Tensorflow

Tensorflow implementation of the paper Marginalized Denoising Auto-encoders for Nonlinear Representations (ICML 2014)

Language: Python - Size: 3.16 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 2

DrAdrianDC/Portfolio-for-Data-Science

This repository contains a collection of end-to-end machine learning and data science projects I have worked on

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samresume/ChronoGAN

This advanced framework integrates the benefits of an Autoencoder-generated embedding space with the adversarial training dynamics of GANs for time series generation..

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tomouellette/autoencodersplz

Generative modeling and representation learning through reconstruction

Language: Python - Size: 27.8 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

mayureshagashe2105/Noise-Suppression

In this era of online meetings, background noise removal systems are really essential for effective workflow. This project is a model that suppresses background noise.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

xValentim/GenerativeAlchemy

This repo will be very helpful if you like generative modeling and you want to know more about this content. In here, you will find many concepts and applications, including theory explanation with math and experiments!

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Mishagk/codigos-variados

Repositorio para codigos de aplicación de ML

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mmrl/lost-in-latent-space

Code from the article: "Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisaton" (NeurIPS, 2022)

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abhilash1910/Datahour_Diffusion

Presentation of the session on Diffusion Principles on behalf of Analytics Vidhya datahour. Youtube: https://www.youtube.com/watch?v=DIdbsfzK7IUtube:

Language: Python - Size: 2.26 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 6

CAG9/Autoencoder-Feature-Extraction

Autoencoder for Feature Extraction

Language: Jupyter Notebook - Size: 484 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

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

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gaetanoantonicchio/DataMining-2

Repository for "Data Mining - Advanced Topics and Applications" projects exam.

Language: Jupyter Notebook - Size: 233 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

lleviraz/recsys_final_project

Final Project Paper Report in Recommendation System Course (Reichman University)

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onurboyar/AnomalyDetection

Anomaly Detection with Multiple Techniques using KDDCUP'99 Dataset

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Tarun-Kamboj/Deep_Learning_with_TensorFlow

Various Deep Learning concepts implemented using TensorFlow

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islam-elkadi/Botnet-Detection-Deep-Autoencoders 📦

Language: Python - Size: 81.9 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 6

DarshanGowda0/MusicalInstrumentsClassification

Identification of predominant musical instrument in a 3s audio excerpt.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

sarathspillai11/Intelligent-Video-Surveillance

The intelligent surveillance of footages will be performed via a spatio temporal autoencoder. This will be based on a 3D convolution network. The encoder part extracts the spatial and temporal information, and then the decoder reconstructs the frames. The abnormal events are identified by computing the reconstruction loss using Euclidean distance between original and reconstructed batch.

Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

Pranjalya/similar_image_retrieval

A Jupyter Notebook encasing a Retrieval system for similar images based on the Autoencoder networks and Euclidean Distance and Clustering based approach.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2

sharmi1206/featal-ecg-anomaly-detection

Fetus Anomaly detection using Variational Auto Encoder

Language: Python - Size: 10.8 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

erwulff/lth_thesis_project

Autoencoders for hadron jet compression

Language: Jupyter Notebook - Size: 308 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

niravnb/Deep-learning-projects

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3

Flavio-96/K-AE-for-Time-Series

Class project for Data Science and Machine Learning course of Università di Salerno Computer Science Master degree, time series clustering achieved through autoencoder's training

Language: Jupyter Notebook - Size: 269 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 1

saman-nia/Deep-Learning-for-Dimensionality-Reduction

Deep Learning for Dimensionality Reduction with Tensorflow

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 0

gkimer/thesis-ICI

Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning

Language: Matlab - Size: 43.6 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 1

guigolab/DeepFryer

DeepFryer - Deep Learning Framework for Your Expression RNA-seq data

Language: Python - Size: 775 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 4

tmvadnn/tmva-dnn-tutorial

Notebooks containing examples for different DNN components

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: about 2 months ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 3

jwcarman/netwerx

A lightweight, extensible deep learning library for Java

Language: Java - Size: 12.6 MB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 2 - 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.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

05kashyap/AutoEncoded_Image_Transfer Fork of anuhyamurki/AutoEncoded_Image_Transfer

Compressing images using Autoencoders and transferring them over the network

Language: Jupyter Notebook - Size: 63.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

davzaman/autopopulus

Framework to profile the use of autoencoders for imputation.

Language: Python - Size: 584 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

Jaso1024/LSTMGAN-StoryTitles

Generation of story titles through the use of Generative Adversarial Networks and Autoencoders

Language: Python - Size: 1.02 GB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

xnought/introduction-to-autoencoders

Visualize autoencoder model training right in your browser. VISxAI 2021

Language: Svelte - Size: 4.74 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

MihirBafna/CovidAutoEncoder

Created and tested various autoencoder architectures (Convolutional, Variational, Linear) to learn latent representations of SARS-Cov-2 genomes and most importantly: the latent differences between the variant genomes.

Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Gymnastik/Tasks_within_DLS_CV_course

These tasks were completed as part of the Deep Learning(a bit of ML and mostly CV) course at Deep Learning School (MIPT). Main framework: PyTorch

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

mspronesti/eurecom-malcom 📦

Code for "Machine Learning for Communication Systems" assignments at Eurecom, Spring 2022

Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

JunchuanYu/3DCAE_for_lithological_mapping

This is the offical implementation for our paper "3D autoencoder algorithm for lithological mapping using ZY-1 02D hyperspectral imagery: a case study of Liuyuan region"

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PRISHIta123/RAELN

L2-Regularized Autoencoder Enabled Ladder Networks (RAELN) for multi-class classification of network intrusion malware.

Language: Python - Size: 31.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

mayureshagashe2105/REVA-HACK-Live-Noise-Suppression

In this era of online meetings, background noise removal systems are really essential for effective workflow. This project is a model that suppresses background noise.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

elias-ba/deep-learning-course

A deep learning course I am creating and sharing for free

Language: Jupyter Notebook - Size: 186 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

asineesh/Edge-Preserved-Universal-Pooling

Novel Pooling for anti-aliasing convolutional neural networks

Language: Python - Size: 448 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

TonyJacb/Convolutional-Autoencoder-for-MRI-Denoising

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

ml4jarchive/ml4j-neuralnets-demo

Simple demos of ml4j NeuralNets...AutoEncoders...RBMs....ConvNets...DBNs....coming soon

Language: Java - Size: 12.5 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

yakupkaplan/IBM---Deep-Learning-and-Reinforcement-Learning

In this repo you can find my files of Deep Learning and Reinforcement Learning, which is one of IBM Machine Learning courses on coursera.

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

MyEntangled/Quantum-Autoencoders

Implementation for classical/quantum (variational) autoencoders

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Amshra267/Autoencoders-Implementation

This repository contains the implementation and visualization of some autoencoders for latent space pattern-learning

Language: Python - Size: 77.1 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ada-k/DLIntro_Tensorflow_Keras

Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.

Language: Jupyter Notebook - Size: 401 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

carlosnatalino/2020-JOCN-efficient-ML

Repository containing the implementation of the work published in JOCN. The work studies the impact of using dimensionality reduction methods to the identification of attacks and anomalies in optical networks.

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

ismailoussaid/Image-Perspective-Transformer

Here is available our group report, not the codes

Size: 1.23 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

manansheel1991/Speech-Enhancement-Project-using-Deep-Learning

This repository has files to train a deep autoencoder on clean speech (from the mozilla common-voice dataset). Then adding gaussian noise to a file, taking its spectrum, and feeding it into the trained autoencoder, to see the result in frequency domain. It also contains a file to reconstruct the output of the autoencoder, writing it to a file for knowing the result of the enhancement provided by the autoencoder.

Language: Python - Size: 521 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0