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228 search results found

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

Deeplearning Playground ⭐ 14

Deep Learning courses, tutorials and examples with TensorFlow and PyTorch

Pytorch Mnist Vae ⭐ 14

Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)

Lego Face Vae ⭐ 14

Variational autoencoder for Lego minifig faces

Hands-on in-person workshop for Deep Learning with TensorFlow

Keras Aquarium ⭐ 14

a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Transformers_unsupervised_anomaly_segmentation ⭐ 14

Transformer-based Models for Unsupervised Anomaly Segmentation in Brain MR Images

Notebooks ⭐ 14

my-deeplearning-practice-notebooks

Implementation of Unsupervised Feature Learning and Deep Learning Tutorial

Deep Feature Consistent Variational Autoencoder In Tensorflow ⭐ 13

implement Deep Feature Consisten Variational Autoencoder in Tensorflow

Video Inpainting ⭐ 13

Video Inpainting using 3D Convolutional Neural Network autoencoder

Opensw_camp_2020 ⭐ 13

2020년 공개SW 대학생 체험캠프

Tensorflow Tutorials ⭐ 13

Seminar: intro to deep learning with tensorflow

Movie Recommender System ⭐ 12

Sketchcolorization ⭐ 12

line drawing colorization using pytorch

Nlg_autoencoder ⭐ 12

Natural Language Generation with a denoising autoencoder

Learningtospotartifacts ⭐ 12

Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.

Font Vae ⭐ 12

Analysis of font shape using Variational Autoencoder with Convnets

Ae Review Resources ⭐ 12

Additional resources for an overview on autoencoders

Simpleai ⭐ 12

A simple yet powerful C++17 implementation of deep neural networks from scratch.

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

Nonnegativity Constrained Autoencoder Ncae ⭐ 12

Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement - AAAI 2023

Deeplearningdenoise ⭐ 12

Denoising Cifar10 images using deep learning with Keras

Tensorflow_node ⭐ 11

Tensorflow based ROS node for evaluating deep learning algorithms.

Deep Learning Theano ⭐ 11

Libro Deep Learning ⭐ 11

Material adicional del libro "Deep Learning: Principios y fundamentos", publicado por la Editorial UOC

Dpf Nets ⭐ 11

Flow-based generative model for 3D point clouds.

Feature Selection Techniques ⭐ 11

Python code source for features selection 👨‍🔬 series on medium website. 📰

Android Malware Detection ⭐ 11

Android Malware Detection using Deep Learning

Deeprecommender ⭐ 11

Training Deep AutoEncoders for Collaborative Filtering

Industrial Machinery Anomaly Detection ⭐ 11

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)

Wprautoencoders ⭐ 11

This is one of Petrobras' open repositories on GitHub. It contains the WPRAutoencoders project which encompasses a wellbore pressure response generator, a dataset of 20.000 synthetic pressure responses and an autoencoder neural network capable of clustering this data based on transmissibility and reservoir geometry.

Brain Mri Autoencoder ⭐ 11

Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brain

Vae Mnist Keras ⭐ 11

Variational autoencoder in Keras on MNIST images

A pytorch framework for building neurals networks for visual recognition, encoding, and detection tasks. The goal is to bridge the gap between research and production code, making AI/CV research code re-usable and reproducible

Accelerated_sampling_with_autoencoder ⭐ 10

Accelerated sampling framework with autoencoder-based method

Deeplearningwithpython ⭐ 10

UFLDL (Unsupervised Feature Learning and Deep Learning) exercises implemented by Python

Manifold Linearization ⭐ 10

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

Ml_wirelesscomm ⭐ 10

Machine Learning Applications in Wireless Communications - Project work

Conv Autoencoder ⭐ 10

Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow

Neuralnetworkslite ⭐ 10

Learn Neural Networks using Java

Deep Learning Scratch Arena ⭐ 10

Implementing most important basic building blocks of Deep Learning from scratch.

Deep Autoencoder Using Tensorflow ⭐ 9

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Bionoinet ⭐ 9

BionoiNet is a deep learning-based software to classify ligand-binding sites.

Re Deep Convolution Neural Network And Autoencoders Based Unsupervised Feature Learning Of Eeg ⭐ 9

Movie Recommendation System Using Autoencoders ⭐ 9

Built a Movie Recommendation System using AutoEncoders.It was built using MovieLens Dataset

Lanternfish ⭐ 9

Deep convolutional neural networks for biological motion analysis

VAE + Quantile Networks for MNIST

Hybrid Recommender ⭐ 9

Hybrid recommendation engine using deep learning that incorporates user and item features, including images and text.

Network_anomaly_detection_deep_learning ⭐ 9

This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.

Introduction_to_deep_learning_coursera ⭐ 9

Intro to Deep Learning by National Research University Higher School of Economics

Deep Video Steganography Hiding Videos In Plain Sight ⭐ 9

Deepmicro ⭐ 9

Deep representation learning for disease prediction based on microbiome data

Mlseminars Autoencoders ⭐ 9

Jupyter notebook of my autoencoder presentation

Deepmirtar_sda ⭐ 8

Stack denoising autoencoder (SdA) code in "Deep learning based functional site-level and UTR-level human miRNA target prediction"

Mml Feature Learning ⭐ 8

Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks

TensorFlow implementation of the Dissimilarity Mixture Autoencoder: https://arxiv.org/abs/2006.08177

Deep Learning for Anomaly Deteection

Deep unsupervised feature selection by discarding nuisance and correlated features

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Open-set Recognition with Adversarial Autoencoders

Package for Multimodal Autoencoders in TensorFlow / Keras

Deep Clustering ⭐ 8

Gamma Variational Autoencoder ⭐ 8

Deep Latent Gamma Model / Gamma VAE

Resautonet ⭐ 8

Dcase2021_task2_baseline_ae ⭐ 8

Autoencoder-based baseline system for DCASE2021 Challenge Task 2.

Deep Neural Network For Clustering ⭐ 8

Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means technique

Network Intrusion Detection Using Machine Learning ⭐ 8

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

Kernelnet_movielens ⭐ 8

AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.

Denoise_autoencoder ⭐ 8

The implement of layer-wise training denoise autoencoder in pytorch.

Ml2018spring ⭐ 8

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

Mida Pytorch ⭐ 8

A pytorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"

Self Supervised Bss Via Multi Encoder Ae ⭐ 8

Official repository for "Self-Supervised Blind Source Separation via Multi-Encoder Autoencoders".

Vector Quantized Autoencoders ⭐ 7

Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"

Unknown_number_source_separation ⭐ 7

Source separation of underwater acoustic radiated noise signals from ships with unknown numbers of signals. Using keras 2.2.4 with tensorflow-gpu 1.12.0 backend.

Deep Learning Nd ⭐ 7

Projects and exercises for the Deep Learning Nanodegree

Vae Pytorch ⭐ 7

Implementation of Variational Autoencoder in Pytorch

Lstm_autoencoder ⭐ 7

LSTM Autoencoder that works with variable timesteps

Spectral_metric_for_dataset_complexity_assessment Keras ⭐ 7

Implementation for Spectral Metric for Dataset Complexity Assessment(CVPR2019)

Deep Audioviz Experiments ⭐ 7

Audio Visualizations driven by Deep Learning

3d Similarity Search ⭐ 7

similar data search for 3D voxel data

Semi Supervised_learning_dl ⭐ 7

Semi-supervised strategies based on Deep Learning to extract structure from images and improve supervised classification tasks.

Deepathology ⭐ 7

Tissue and Cancer Type Identification using Deep Neural Networks

Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.

Stanford_cs224u Nlu Course ⭐ 6

This repository contains my solution to the Stanford Course cs224u "Natural Language Understanding" Summer 2019

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Nsynth Pytorch ⭐ 6

A reimplementation of NSynth in PyTorch.

Heterogeneous_autoencoder_by_quadratic_neurons ⭐ 6

Tensorflow Advanced Techniques Solutions ⭐ 6

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new

Awesome Autoencoders For Representation Learning ⭐ 6

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

TSMC course materials for unsupervised learning

Strv Ml Mask2face ⭐ 6

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

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