GitHub topics: autoencoder
riyadhrodna/MarketGuardian
📊 Detect financial anomalies using advanced machine learning to uncover unusual trading patterns and prevent fraud in real-time across various markets.
Language: Python - Size: 2.12 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
andrew1550/Breast-Cancer-prediction-using-machine-learning
🔍 Predict breast cancer outcomes using machine learning, leveraging image-derived features to classify masses as malignant or benign for improved healthcare decisions.
Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0
alexandremuzio/deep-steg
Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
Language: Jupyter Notebook - Size: 106 MB - Last synced at: 2 days ago - Pushed at: almost 8 years ago - Stars: 54 - Forks: 17
koba-jon/pytorch_cpp
Deep Learning sample programs using PyTorch in C++
Language: C++ - Size: 251 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 306 - Forks: 58
Ronak786943/Movie-Recommendation-System
🎥 Build a smart Movie Recommendation System to enhance user experience with personalized suggestions and efficient search functionality.
Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Language: Python - Size: 40.6 MB - Last synced at: 5 days ago - Pushed at: 7 days ago - Stars: 9,619 - Forks: 1,459
SimoneFaraulo/GenerativeAI-Foundations
This repository contains a collection of PyTorch scripts that implement and explore the fundamental concepts of probability, information theory, and generative modeling from scratch. It serves as a practical "cookbook" for understanding the building blocks of modern generative AI.
Language: Python - Size: 94.7 KB - Last synced at: 1 day ago - Pushed at: 5 days ago - Stars: 2 - Forks: 0
ahmadtourei/das-anomaly
A Python package for anomaly detection in distributed acoustic sensing (DAS) datasets.
Language: Python - Size: 3.83 MB - Last synced at: 2 days ago - Pushed at: 6 days ago - Stars: 24 - Forks: 1
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: 686 KB - Last synced at: 3 days ago - Pushed at: 6 days ago - Stars: 4 - Forks: 0
ScriptedLines404/Network-Intrusion-Detection-System-using-Deep-Learning
This project implements a modern Network Intrusion Detection System (NIDS) using deep learning and machine learning to identify cybersecurity threats. It works with an intelligent pipeline that includes PCA‑based feature reduction, autoencoder anomaly detection, and classifiers like XGBoost. Built on a cleaned version of the CICIDS2017 dataset
Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 5 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
jan-forest/autoencodix_package
Python library for multi-omics data integration by autoencoders
Language: Jupyter Notebook - Size: 548 MB - Last synced at: about 12 hours ago - Pushed at: about 21 hours ago - Stars: 6 - Forks: 0
glimmerphoenix/taller-ml-no-supervisado-R
Taller sobre aprendizaje máquina no supervisado con R
Language: TeX - Size: 10.3 MB - Last synced at: 5 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
happy531/coder-encoder
A machine learning project focused on dogs image reconstruction using autoencoders.
Language: Python - Size: 5.96 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
GiantTreeLP/emoji-auto-encoder
Compresses Twemoji emojis down to 32 bytes (8 4-bit floating point numbers).
Language: Python - Size: 3.06 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 1 - 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: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 1
rodroguezjuliocesar41-creator/GenerativeAI-Foundations
🧠 Explore foundational concepts of generative AI with PyTorch scripts covering probability, information theory, and essential modeling techniques.
Language: Python - Size: 1.37 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
sakethakella/semantic_communication
implementation of semantic communication using a auto encoder and the auto encoder is trained over imageNet
Language: Python - Size: 2.2 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
calebclayreagor/MesenCoder
Mesenchyme autoencoder for development and cancer
Language: Jupyter Notebook - Size: 590 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
andleb/DistributionalAutoencodersScore
Official code repository for Distributional Autoencoders Know the Score, NeurIPS 2025
Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 9 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0
rustcodepro/encoderb
autoencoder and classifier for bioinformatics
Language: Rust - Size: 7.81 KB - Last synced at: 10 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
Dansoko22md/Deep-Learning-Video-Emotion
🎭 Deep Learning project for video-based emotion recognition using CNN, LSTM & Autoencoder. Combines spatial feature extraction, temporal modeling & unsupervised learning for accurate classification of human emotions from video sequences. Built with TensorFlow/Keras.
Size: 5.86 KB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
pierridotite/CIFAR10-CompressAI
Convolutional autoencoder for compressing and reconstructing CIFAR-10 images using TensorFlow.
Language: Jupyter Notebook - Size: 482 KB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 3 - Forks: 0
mbaranr/recolor_cifar10
Autoencoders (U-Net) and DCGANs for CIFAR-10 colourization.
Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 10 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
Language: Python - Size: 13.2 MB - Last synced at: 8 days ago - Pushed at: over 5 years ago - Stars: 1,872 - Forks: 447
roicort/rEAMember
Entropic Associative Memory (EAM) Framework
Language: Python - Size: 696 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0
SuyashMullick/surface-defect-detection-ind
Anomaly detection pipeline for industrial surface inspection using the MVTec AD dataset. Includes classical computer vision baselines, autoencoder models, and PaDiM-based feature embeddings for detecting subtle manufacturing defects.
Size: 4.88 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
chaitra-samant/cvae_ml_project Fork of kevinzb56/cvae_ml_project
This project enables customizable facial image editing by allowing users to toggle attributes like smiling, moustache, and glasses. It produces realistic, targeted edits for practical and interpretable face image synthesis.
Language: Jupyter Notebook - Size: 59.7 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0
ymirsky/KitNET-py
KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
Language: Python - Size: 35 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 247 - Forks: 77
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: 85.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0
jericho-cain/cwt-manifold-grav-wav
Manifold learning approach for detecting resolvable gravitational wave sources in LISA confusion noise using CNN autoencoders and continuous wavelet transforms.
Language: Python - Size: 1.22 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
baidikgithub/smart-meter-dp-privacy
This project uses Differentially Private Stochastic Gradient Descent (DP-SGD) and autoencoder-based machine learning to securely analyze smart meter data, protecting sensitive energy patterns while preserving overall trend utility.
Language: Python - Size: 8.79 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0
Manya123-max/Deep-Learning-Algorithms-
Comprehensive collection of ML algorithms implemented during Master's degree - Linear/Logistic Regression, SVM, Decision Trees, Naive Bayes, K-Means, DBSCAN, Hierarchical Clustering & Regularization
Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0
ShubhamV2503/CT-Scan-Image-Denoising
This project focuses on enhancing brain CT scans by reducing acquisition noise using a CNN-based autoencoder, followed by tumor detection on the refined image
Language: SCSS - Size: 34 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
kayua/MalDataGen
MalDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.
Language: Python - Size: 236 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 38 - Forks: 6
binli826/LSTM-Autoencoders
Anomaly detection for streaming data using autoencoders
Language: Python - Size: 46.4 MB - Last synced at: 20 days ago - Pushed at: over 3 years ago - Stars: 203 - Forks: 47
kailas711/AI-Origins
Blog series based on fundamental deep learning concepts for my practice.
Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
wecarsoniv/augmented-pca
Repository for the AugmentedPCA Python package.
Language: Python - Size: 63 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 0
waheeb71/nids-anomaly
Real-time Network Intrusion Detection System (NIDS) using AI for anomaly detection and host compromise alerts.
Language: Python - Size: 6.78 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 1
rustcodepro/bacencode
autoencoder and decoder approach to address dimensionality reduction
Language: Rust - Size: 29.3 KB - Last synced at: 10 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
JulesBelveze/time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
Language: Python - Size: 345 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 704 - Forks: 68
arssite/Datalysis
Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER
Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 8 - Forks: 2
PacktPublishing/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Language: Python - Size: 700 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1,955 - Forks: 1,012
AmirhosseinHonardoust/Teaching-Neural-Networks-to-Imagine-Tables
A comprehensive deep dive into how Variational Autoencoders (VAEs) learn to generate realistic synthetic tabular data. This project explores latent space learning, probabilistic modeling, and neural creativity, combining data privacy, interpretability, and generative AI techniques in a structured format.
Size: 19.5 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 2 - Forks: 0
selvatharrun/DSI
deep Learning Basics Repository This repository serves as a collection of foundational materials from my college deep learning courses. It includes lecture notes, code snippets, assignments, and resources covering the essentials of deep learning, such as neural networks, activation functions, backpropagation, optimization techniques.
Language: Jupyter Notebook - Size: 753 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
CrowSerainance/LiveActivityApp
Windows utility to schedule keystrokes into any app window and run visual countdown alarms. Now with Tray Mode (minimize to tray with Show/Start-Stop/Exit) and an inline editor for scheduled items.
Language: C# - Size: 180 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
mathLab/EZyRB
Easy Reduced Basis method
Language: Jupyter Notebook - Size: 37 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 88 - Forks: 68
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: 10 days ago - Pushed at: about 5 years ago - Stars: 39 - Forks: 6
ContextLab/giblet-responses
Contextual Dynamics Lab (Dartmouth) code that was originally related to the CCN Algonauts 2021 challenge (but that has now evolved substantially)
Language: Python - Size: 57 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1
Shohail-Ismail/AquaSentinel-Prototype
AquaSentinel is a prototype designed to detect anomalous vital levels of deep-sea divers, developed for the EYH university competition, for which it was awarded a Distinction. AquaSentinel is a component of our project 'VitaLink': a concept dive computer that analyses vitals data and alerts surface teams in case of an anomalous readings.
Language: Python - Size: 13.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
tjards/latent_linear_manifolds
DNN-based autoencoder to learn the linear essence of swarm dynamics.
Language: Python - Size: 27.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ParamThakkar123/ML_and_DL-algos
This repository contains all the machine learning and deep learning model I have implemented using various frameworks like keras, tensorflow, scikit-learn, pytorch, etc.
Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
MrForExample/DC_SSDAE
Deep Compression Single-Step Diffusion Autoencoder
Language: Python - Size: 151 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
pmelchior/spender
Spectrum encoder and decoder
Language: Python - Size: 402 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 46 - Forks: 15
njPlanck/Auto-Encoder---Extracting-GAN-Model-Fingerprints
This project aims at training a denoiser to supress or removel GAN model fingerprints from the finger-vein dataset from our PAD project. This method was first proposed by Neves et al, in their paper "GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection".
Language: Python - Size: 3.31 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
sylvaticus/BetaML.jl
Beta Machine Learning Toolkit
Language: Julia - Size: 36.4 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 104 - Forks: 14
SepAbs/MNIST-Dataset-of-Handwritten-Clustering
Applied K-Means, Mini Batch K-Means, DBSCAN, and HDBSCAN on autoencoder-extracted MNIST features.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
SepAbs/MNIST-Dataset-of-Handwritten-Classification-by-Multi-Layer-Perceptron
Extracted features with autoencoder and classified MNIST digits using MLP achieving ~60% accuracy.
Language: Jupyter Notebook - Size: 9.42 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
samuelveersingh/FAEclust
Cluster Analysis of Multi-Dimensional Functional Data
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
jbramburger/DataDrivenDynSyst
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Language: Jupyter Notebook - Size: 79.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 146 - Forks: 31
shobrook/sequitur
Library of autoencoders for sequential data
Language: Python - Size: 1.94 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 451 - Forks: 56
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 1 month ago - Pushed at: over 5 years ago - Stars: 1,379 - Forks: 402
SaadARazzaq/auto-encoder-compressor
A deep learning-based image compression system utilizing Stacked Denoising Convolutional Autoencoders with advanced activation functions and up-sampling techniques.
Language: Jupyter Notebook - Size: 69.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: 3 months ago - Stars: 157 - Forks: 30
zrkhadija/Discovering-Rare-Genomic-Subtypes-Pan-cancer-Cancer-Specific-Clustering
Goal: Look at all samples together, regardless of cancer type. Purpose: Identify broad clusters that might cut across cancer types. Possibly find patterns that indicate a sample’s behavior is more similar to another cancer type (interesting cross-cancer subtypes).
Language: Jupyter Notebook - Size: 627 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
GlastonburyGroup/ImLatent
Deep learning pipeline to obtain latent representation from images using 2D and 3D diffusion and other autoencoders
Language: Python - Size: 89.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 2
GlastonburyGroup/CardiacDiffAE_GWAS
Official code for the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"
Language: Python - Size: 105 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 1
suhanigarg855/ISRO-ML-Orbit-Error-Correction
ISRO internship report & figures - hybrid SGP4/ML project
Size: 2.67 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
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: about 1 month ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 5
jayarnim/M-LAB
seminar at the artificial intelligence for business optimization lab during master's course
Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
hamaadshah/autoencoders_pytorch
Automatic feature engineering using deep learning and Bayesian inference using PyTorch.
Language: Python - Size: 55.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 20 - Forks: 7
davide-marchi/clinical-data-encoding
MIEO (Masked Input Encoded Output): self-supervised embeddings for clinical tabular data; handles missing values and mixed types for CVD risk prediction.
Language: Jupyter Notebook - Size: 49.5 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 5 - Forks: 1
UK183/Image-Inpainting-using-CNN
Deep learning project using Convolutional Neural Networks (CNNs) for Image Inpainting- to restore missing or damaged regions in images. Highlights skills in CNN model development, image restoration, and data-driven experimentation with TensorFlow/PyTorch.
Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
PolymathicAI/lola
Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"
Language: Python - Size: 197 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 38 - Forks: 5
jayarnim/RS-CDAE
prectice CDAE, autoencoder based collaborative filtering for implicit feedback
Language: Python - Size: 78.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
rishishanthan/anomaly-detection-autoencoders
Anomaly detection with Dense, LSTM, and Conv1D autoencoders — reconstruction error, adaptive thresholds, ROC/PR analysis, and error heatmaps.
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
jericho-cain/cwt-lstm-ae-grav-wav
Advanced ML pipeline that detects gravitational wave signals in LIGO noise data through continuous wavelet transform preprocessing and LSTM autoencoder anomaly detection. Validated on H1 detector data with perfect performance metrics.
Language: Python - Size: 22.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
greenelab/BioBombe
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Language: Jupyter Notebook - Size: 2.28 GB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 26
chrislemke/autoembedder
PyTorch autoencoder with additional embeddings layer for categorical data 🚘
Language: Python - Size: 936 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0
ArdeleanRichard/Nonlinear-Feature-Extraction-in-SpikeSorting
A study of non-linear manifold feature extraction in spike sorting: a comprehensive benchmark of 15 feature extraction methods
Language: Python - Size: 2.26 GB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
DimAthanasakos/Graph-AutoEncoder-for-Model-Agnostic-Anomaly-Detection
Graph AutoEncoder for Model Agnostic Anomaly Detection: https://arxiv.org/abs/2506.19920
Language: Jupyter Notebook - Size: 991 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
ARMAND-cod-eng/fraud-detection-ensemble
Production fraud detection system achieving 1,779% ROI using ensemble deep learning. Features: 85.71% recall, 0.16% FPR, <100ms latency
Language: Jupyter Notebook - Size: 4.55 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
gongersio/autoencoder-project
A basic autoencoder model using CNNs to analyse online social media videos about immersive museum exhibits.
Language: Python - Size: 751 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
stef1949/HarmonizeNN
Adversarial autoencoder for bulk RNA‑seq batch effect correction that removes batch signal while preserving biological variation, outputting a corrected logCPM matrix and latent embeddings with optional supervised label preservation.
Language: Python - Size: 585 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
GaloisInc/dlkoopman
A general-purpose Python package for Koopman theory using deep learning.
Language: Python - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 108 - Forks: 15
saman-nia/Deep-Neural-Networks-for-Clustering
Deep Learning Clustering with Tensor-Flow in Python
Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 14 - Forks: 11
mahdi-ahmadi-2002/Multi-Task-Image-Reconstruction-Autoencoder
A multi-task PyTorch autoencoder that separates and reconstructs CIFAR-10 and MNIST images from a single, synthetically combined input image.
Language: Jupyter Notebook - Size: 330 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
konpatp/diffae
Official implementation of Diffusion Autoencoders
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 942 - Forks: 148
silkemaes/MACE
MACE, a Machine-learning Approach to Chemistry Emulation
Language: Jupyter Notebook - Size: 473 MB - Last synced at: about 9 hours ago - Pushed at: 8 months ago - Stars: 4 - Forks: 4
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: 3 months ago - Pushed at: 6 months ago - Stars: 94 - Forks: 25
cxhernandez/molencoder
Molecular AutoEncoder in PyTorch
Language: Python - Size: 49.8 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 92 - Forks: 18
Sulkysubject37/BioMoR
BioMoR: Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble An R package for advanced bioinformatics predictive modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensembles. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimisation.
Language: R - Size: 16.5 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
sabamadadi/Mixed-Autoencoder-MNIST-CIFAR10
Autoencoder for reconstructing MNIST and CIFAR-10 images from combined inputs.
Language: Jupyter Notebook - Size: 281 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
gyt1145028706/XY-Tokenizer
This is the code for paper: XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs. Demos, technical insights and experimental results are presented on
Language: Python - Size: 1.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 70 - Forks: 4
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 months ago - Pushed at: about 1 year ago - Stars: 51 - Forks: 19
thiagoneye/master-deep_learning
Codes implemented in the Deep Learning discipline.
Language: Jupyter Notebook - Size: 191 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
jericho-cain/gravWH
🌌 CWT-LSTM Autoencoder for gravitational wave detection achieving 92.6% precision (exceeds LIGO >90% requirement). Features automated LaTeX paper update, comprehensive docs, and unsupervised anomaly detection.
Language: Python - Size: 7.55 MB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: over 1 year ago - Stars: 678 - Forks: 64
felixdittrich92/Document_Scanner
this repository contains utils for post processing scanned documents and classify any kind of document for the given labels
Language: Python - Size: 51.9 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 4
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: 3 months ago - Pushed at: about 5 years ago - Stars: 352 - Forks: 187
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: 8.15 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
