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
