An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: autoencoder

GlastonburyGroup/ImLatent

Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders

Language: Python - Size: 88.9 MB - Last synced at: about 21 hours ago - Pushed at: about 21 hours ago - Stars: 1 - Forks: 2

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 34.9 MB - Last synced at: 1 day ago - Pushed at: 23 days ago - Stars: 98 - Forks: 13

zelaki/eqvae

[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Language: Python - Size: 1.15 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 122 - Forks: 6

aparajit93/autoencoder-fraud-detection

Portfolio project showcasing Unsupervised anomaly detection using PyTorch autoencoders, with threshold tuning, evaluation plots, and prediction confidence scoring.

Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Southla/Supervised_Learning

Supervised Learning project from TripleTen

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

wubinzzu/NeuRec

Next RecSys Library

Language: Python - Size: 17.6 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 1,056 - Forks: 219

zahra-ahmadbeigloo/Deep-Learning-Projects

This repository contains a collection of deep learning projects implemented from scratch and using Keras/TensorFlow. The focus is on learning and experimenting with different neural network architectures for both foundational understanding and practical application.

Language: Jupyter Notebook - Size: 7.53 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

sourize/NavAI-Guard

This repo contains an implementation of an anomaly detection system for ships using AIS data.

Language: Jupyter Notebook - Size: 180 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

TAYMESMAEE/Anomaly-Detection-in-Transactions

Anomaly detection in transactions means identifying unusual or unexpected patterns within transactions or related activities. These patterns, known as anomalies or outliers, deviate significantly from the expected norm and could indicate irregular or fraudulent behaviour.

Language: Python - Size: 41 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ahmadtourei/das-anomaly

A Python package to detect anomalies in distributed acoustic sensing (DAS) datasets.

Language: Python - Size: 1.97 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 9 - Forks: 0

zombieTDV/A-Guide-to-Variational-Inference-and-Neural-Networks-for-Approximating-Latent-Spaces

Hướng dẫn và mã nguồn toàn diện về Suy luận Biến thiên và Mạng Nơ-ron (Autoencoder & VAE) cho bài toán xấp xỉ, trực quan hóa không gian ẩn với các thí nghiệm chi tiết trên không gian 2D và 32D.

Language: Python - Size: 128 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

DimAthanasakos/Graph-AutoEncoder-for-Model-Agnostic-Anomaly-Detection

Graph AutoEncoder for Model Agnostic Anomaly Detection

Language: Python - Size: 326 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ocastillo200/SFClustering

Clustering para encontrar Soft Failures en redes ópticas

Language: Python - Size: 35.8 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

cmatteogr/medellin_ai_autoencoder_anomaly_detection

Autoencoder used as anomaly detection model

Language: Python - Size: 1.35 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 7 - Forks: 1

shobrook/sequitur

Library of autoencoders for sequential data

Language: Python - Size: 1.94 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 443 - Forks: 56

StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

Language: Python - Size: 97.7 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 186 - Forks: 33

sergezaugg/feature_extraction_saec

Compact auto-encoders for feature extraction from acoustic spectrograms

Language: Python - Size: 361 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

GiantTreeLP/emoji-auto-encoder

Compresses Twemoji emojis down to 32 bytes (8 4-bit floating point numbers).

Language: Python - Size: 3.04 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

NifTK/NiftyNet 📦

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Language: Python - Size: 11 MB - Last synced at: about 22 hours ago - Pushed at: about 5 years ago - Stars: 1,377 - Forks: 402

Dev-Re2906/BTCETFT

Created with StackBlitz ⚡️

Language: Solidity - Size: 477 KB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 1 - Forks: 0

lucidrains/maskbit-pytorch

Implementation of the proposed MaskBit from Bytedance AI

Language: Python - Size: 295 KB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 82 - Forks: 1

yzhao062/pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Language: Python - Size: 39.3 MB - Last synced at: 12 days ago - Pushed at: about 2 months ago - Stars: 9,274 - Forks: 1,417

slrbl/malware-detection-with-deep-learning-autoencoder

Language: Python - Size: 230 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 12 - Forks: 9

pratycodes/Stock-Sentry

Anomaly Detection in Stock Prices using LSTM Autoencoder

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

andreasMazur/variational_autoencoder

A light TensorFlow meta-class for variational autoencoder.

Language: Python - Size: 98.6 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 1

CTCycle/FEXT-Autoencoder

An autoencoder model to extract features from images and obtain their compressed vector representation, inspired by the convolutional VVG16 architecture

Language: Python - Size: 75.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

dzhokn/school-dropout-prediction

School Dropout Prediction using Anomaly Detection Autoencoder model (written from scratch, no frameworks used)

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

cloudera/CML_AMP_Anomaly_Detection

Apply modern, deep learning techniques for anomaly detection to identify network intrusions.

Language: Python - Size: 8.39 MB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 49 - Forks: 18

tensorlayer/awesome-tensorlayer

A curated list of dedicated resources and applications

Size: 94.7 KB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 59

harveybc/feature-extractor

Application for training an autoencoder for generating an encoder that can be used as feature extractor for dimensionality and noise reduction, while the decoder can be used for synthetic data generation. Supports dynamic plugin integration, allowing users to extend its capabilities by adding custom encoder and decoder models.

Language: Python - Size: 184 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 5 - Forks: 0

GheodeAI/va_am

VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.

Language: Python - Size: 658 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 4 - Forks: 0

DataS-DHSC/tech-club

Materials for Statistics and Data Science (SDS) Tech Club sessions

Language: Jupyter Notebook - Size: 905 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

ilnazasaifutdinova/exoplanet-transit-detection-showcase

Academic project on detecting and generating exoplanet transit signals with LSTM and Autoencoders using labeled Kepler light curves from Kaggle

Language: Python - Size: 1.9 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

GaloisInc/dlkoopman

A general-purpose Python package for Koopman theory using deep learning.

Language: Python - Size: 10.8 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 104 - Forks: 14

chrislemke/autoembedder

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Language: Python - Size: 935 KB - Last synced at: 7 days ago - Pushed at: 12 days ago - Stars: 8 - Forks: 0

vonexel/smog

Pytorch implementation of Semantic Motion Generation - motion synthesis from text via CLIP & Kolmogorov-Arnold-Networks

Language: Python - Size: 4.54 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0

XavierJiezou/PMAA

Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).

Language: JavaScript - Size: 32.5 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 24 - Forks: 6

Parth-D3/Autoencoders

Repository for showcasing autoencoder architecture in computer vision and its applications in denoising, domain adaption, anomaly detection and image colorization

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

The-AI-Summer/deep-learning-visuals

A collection of 100 Deep Learning images and visualizations

Size: 6.01 MB - Last synced at: 15 days ago - Pushed at: almost 4 years ago - Stars: 78 - Forks: 11

pmelchior/spender

Spectrum encoder and decoder

Language: Python - Size: 402 KB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 40 - Forks: 12

FandosA/Normal_Optical_Flow_Prediction_Pytorch

Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.

Language: Python - Size: 248 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

IoBT-VISTEC/MIN2Net

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

Language: Python - Size: 19.4 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 89 - Forks: 25

alawryaguila/multi-view-AE

Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.

Language: Python - Size: 3.14 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 53 - Forks: 5

ZakriaComputerEngineer/Semi-and-self-supervised-learning-for-baggage-threat-screening-and-localisation

This repository is source code of conference paper "ViT-AE: A Self-Supervised Vision Transformer Autoencoder for Baggage Threat Localization"

Language: Jupyter Notebook - Size: 173 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

cair/tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

Language: Python - Size: 300 MB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 147 - Forks: 21

qazimsajjad/Deep-Learning-Course

This repository provides a comprehensive deep learning course with theoretical concepts and practical implementations

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

EndlessSora/focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Language: Python - Size: 4.93 MB - Last synced at: 18 days ago - Pushed at: 10 months ago - Stars: 662 - Forks: 64

QuantiusBenignus/voluble

Let your GNOME desktop speak to you. Reads your desktop notifications or selected text out-loud with human-like voice using Piper. Uses a local LLM to summarize selected text.

Language: JavaScript - Size: 231 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 0

msaakaash/deepLearning

A comprehensive deep learning repository covering core concepts, architectures, and implementations for diverse datasets.

Language: Jupyter Notebook - Size: 72 MB - Last synced at: 19 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Language: Python - Size: 37.1 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 4,346 - Forks: 1,866

arcc-hitt/URL_Email_Phishing_Detection

A real-time phishing detection system that analyzes emails and URLs using LightGBM, XGBoost, and autoencoders, with seamless Gmail API integration and an Angular frontend for clear, instant threat insights.

Language: Jupyter Notebook - Size: 93.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

podgorskiy/ALAE

[CVPR2020] Adversarial Latent Autoencoders

Language: Python - Size: 203 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 3,523 - Forks: 555

golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Language: Python - Size: 160 MB - Last synced at: 30 days ago - Pushed at: over 2 years ago - Stars: 2,131 - Forks: 989

sanjanb/BiasNet-Pretrained-Model

By leveraging the power of large, diverse datasets and advanced neural network architectures, DeepFair helps mitigate biases and promote fairness in model predictions.

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PacktPublishing/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

Language: Python - Size: 700 MB - Last synced at: 30 days ago - Pushed at: about 2 years ago - Stars: 1,914 - Forks: 989

podgorskiy/VAE

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

Language: Python - Size: 5.17 MB - Last synced at: 13 days ago - Pushed at: over 6 years ago - Stars: 74 - Forks: 13

soham-b-github/DL-NLP-Assignments

Assignments for the course Deep Learning and its applications in Natural Language Processing at RKMVERI for the programme M.Sc. BDA

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

WilliamZhang20/Credit-Card-Fraud-Detection

Applied a wide variety of anomaly detection algorithms

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

VivekPa/AIAlpha

Use unsupervised and supervised learning to predict stocks

Language: Python - Size: 13.2 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 1,819 - Forks: 450

AmrShaaban99/super-resolution

This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.

Language: Jupyter Notebook - Size: 198 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 27 - Forks: 6

NELSONZHAO/zhihu

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Language: Jupyter Notebook - Size: 157 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 3,514 - Forks: 2,129

akurgat/automating-technical-analysis

Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.

Language: Python - Size: 53.6 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 346 - Forks: 85

orroo/DEEP-NEPHRO

DEEP_NEPHRO is a university-led project focused on enhancing dialysis care through intelligent monitoring and optimization. By integrating machine learning and real-time data analysis, the project aims

Language: HTML - Size: 96.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MorvanZhou/PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8,303 - Forks: 3,109

jefkine/zeta-learn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Language: Python - Size: 10.6 MB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 39 - Forks: 6

hughrawlinson/yeda 📦

High level audio features for Javascript

Size: 1000 Bytes - Last synced at: 1 day ago - Pushed at: over 9 years ago - Stars: 0 - Forks: 0

mahdjourOussama/intrusion-detection

This is a research project that I used as my end of studies project to obtain a state engineer degree in Information Systems from the National Polytechnic School of Oran, Algeria. The goal of this project is to find a new approach to enhance intrusion detection using both machine learning and deep learning techniques.

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Younes-Charfaoui/Feature-Selection-Techniques

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

Language: Jupyter Notebook - Size: 207 KB - Last synced at: about 5 hours ago - Pushed at: over 5 years ago - Stars: 41 - Forks: 22

phizaz/diffae

Official implementation of Diffusion Autoencoders

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 919 - Forks: 146

sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Language: Jupyter Notebook - Size: 206 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 345 - Forks: 186

AG-Peter/encodermap

python library for dimensionality reduction

Language: Python - Size: 111 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 29 - Forks: 10

EpicElectrons/ZEROHACK-CODE

ZeroHack

Language: TypeScript - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

svats73/mdml

mdml: Deep Learning for Molecular Simulations

Language: Python - Size: 5.92 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 34 - Forks: 7

SURESHBEEKHANI/Autoencoders

This project is a practice implementation of an autoencoder, The primary use case for this autoencoder is for anomaly detection in sales data, but it can be adapted for other purposes. The autoencoder compresses the input data into a lower-dimensional representation and then reconstructs the original input from this representation.

Language: Jupyter Notebook - Size: 477 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

BinRoot/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 4,449 - Forks: 1,201

chrismattmann/MLwithTensorFlow2ed

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

Language: Jupyter Notebook - Size: 546 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 140 - Forks: 69

Westlake-AI/inv-ML

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

Language: Python - Size: 8.2 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

JulesBelveze/time-series-autoencoder

PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

Language: Python - Size: 343 KB - Last synced at: 30 days ago - Pushed at: 4 months ago - Stars: 675 - Forks: 67

wannabeOG/ExpertNet-Pytorch

A PyTorch implementation of the CVPR 2017 publication "Expert Gate: Lifelong Learning with a Network of Experts"

Language: Python - Size: 57.1 MB - Last synced at: 12 days ago - Pushed at: about 2 years ago - Stars: 38 - Forks: 10

thad75/Tutorial-ELEVE

This repository contains AI Labs given to ENSEA SIA M2 Student and M1 Students. These labs broadly introduce the world of Deep Learning and their applications. I wrote them as a broad introduction to multiple AI Frameworks.

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 9 - Forks: 2

jonregef/sihl

Simple Image Heads and Layers for deep learning based computer vision

Language: Python - Size: 260 KB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 7 - Forks: 0

oke-aditya/image_similarity

PyTorch Blog Post On Image Similarity Search

Language: Python - Size: 7.16 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 256 - Forks: 60

m15kh/Image_Segmentation

implementation of Image Segmentation from scratch

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Fertmeneses/AI-quantum-noise-spectroscopy

Artificial Intelligence methods applied to quantum noise spectroscopy

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

SpeekeR99/DP_2024_2025_Zappe

Diplomová práce - ZČU, FAV, KIV ; Master's Thesis - UWB, FAS, DCSE

Language: Python - Size: 163 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

indranil143/Image_Denoiser

Exploring CNN autoencoder techniques for MNIST image denoising, from basic to advanced architectures.

Language: Jupyter Notebook - Size: 7.16 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

OmarA32/House-Price-Prediction-and-Clustering-with-Deep-Learning

[WIP] House Price Prediction & Clustering. Utilizing PyTorch for neural networks, and Tkinter for the user interface.

Language: Python - Size: 932 KB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

rpng/calc

Convolutional Autoencoder for Loop Closure

Language: Python - Size: 31.6 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 199 - Forks: 46

mathLab/EZyRB

Easy Reduced Basis method

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 85 - Forks: 65

shobhitraj1/CSE641-Deep-Learning

This repository contains my coursework (assignments & semester exams) for the Deep Learning course at IIIT Delhi in Winter 2025.

Language: Jupyter Notebook - Size: 44.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

amoussawi/recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

Language: Python - Size: 3.47 MB - Last synced at: 26 days ago - Pushed at: almost 2 years ago - Stars: 56 - Forks: 7

TimeDelta/q-vs-c_enc_dec_nonstationary

Quantum vs Classical, Autoregressive vs Reconstructive Encoder/Decoder Architectures on Non-Stationary Time-Series: Loss Landscapes and Latent Complexities with and without Recurrence

Language: Python - Size: 9.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sumony2j/Autoencoder

Implementation of Vanilla, Deep, and Convolutional Autoencoders using TensorFlow on the MNIST dataset

Language: Jupyter Notebook - Size: 103 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

alexandre01/deepsvg

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 1,064 - Forks: 106

shahriar0651/NoiSec

Official Implementation of the NoiSec [ESORICS'25] paper: Let the Noise Speak — A Unified Defense Against Adversarial and Backdoor Attacks

Language: Python - Size: 524 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mbaranr/recolor_cifar10

Autoencoders (U-Net) and DCGANs for CIFAR-10 colourization.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

greenelab/tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

Language: HTML - Size: 99.3 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 169 - Forks: 62

m-bien/CSC-429-PCA-AE-Project-4

Dimension reduction with PCA and AE

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

benedekrozemberczki/DANMF

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Language: Python - Size: 2.31 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 205 - Forks: 41

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autoencoder 1,677 deep-learning 610 machine-learning 344 pytorch 299 tensorflow 293 python 241 keras 208 neural-network 162 cnn 157 convolutional-neural-networks 142 anomaly-detection 135 variational-autoencoder 116 computer-vision 99 gan 92 vae 87 deep-neural-networks 84 mnist 83 unsupervised-learning 79 lstm 77 generative-adversarial-network 71 neural-networks 70 clustering 54 dimensionality-reduction 53 classification 53 generative-model 51 rnn 50 python3 48 image-processing 47 pca 46 keras-tensorflow 42 deeplearning 39 denoising-autoencoders 38 autoencoders 36 nlp 36 jupyter-notebook 35 tensorflow2 35 recurrent-neural-networks 35 reinforcement-learning 33 artificial-intelligence 31 data-science 31 transfer-learning 30 autoencoder-mnist 29 time-series 29 ai 27 numpy 26 pytorch-implementation 26 recommender-system 26 denoising 25 segmentation 24 transformer 24 regression 24 representation-learning 24 convolutional-autoencoder 24 self-supervised-learning 23 artificial-neural-networks 22 mnist-dataset 22 unet 22 principal-component-analysis 21 mlp 21 feature-extraction 21 natural-language-processing 20 image-classification 20 autoencoder-neural-network 20 random-forest 19 word2vec 19 logistic-regression 19 cifar10 19 encoder-decoder 18 lstm-neural-networks 18 collaborative-filtering 18 fraud-detection 17 opencv 16 style-transfer 16 kmeans-clustering 16 visualization 16 machine-learning-algorithms 16 matplotlib 16 isolation-forest 16 outlier-detection 14 image-generation 14 compression 14 feature-engineering 14 streamlit 14 image-compression 14 ml 14 xgboost 14 generative-models 14 seq2seq 14 pandas 14 encoder 14 linear-regression 13 semi-supervised-learning 13 decoder 13 vgg16 13 dcgan 13 resnet 13 dimension-reduction 13 gans 13 scikit-learn 13 vae-pytorch 13