shobrook/sequitur

Library of autoencoders for sequential data

Language: Python - Size: 1.94 MB - Last synced at: about 4 hours ago - Pushed at: over 1 year ago - Stars: 446 - Forks: 56

otuemre/ML-SIEM

Unsupervised anomaly detection system for identifying account takeover attempts using AutoEncoders and login behavior analysis. Part of a larger ML-based SIEM project.

Language: Jupyter Notebook - Size: 922 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - 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: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

NDarayut/Khmer-Historical-Text-Restoration

This repository introduces a document image restoration framework using computer vision and deep learning to preserve degraded historical Khmer palm leaf manuscripts. It explores U-Net variants, convolutional autoencoders, and cGANs for automatic restoration, utilizing a custom-generated dataset and evaluating performance with MSE, PSNR, and SSIM.

Language: Jupyter Notebook - Size: 86.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

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: 8.14 MB - Last synced at: 6 days ago - Pushed at: 6 days 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: 38.1 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Ahmadhammam03/movie-recommendation-sae

🎬 Movie Recommendation System using Stacked AutoEncoders and PyTorch for collaborative filtering

Language: Python - Size: 467 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

DaivikGirish/ML-diabetes-health-indicator

Diabetes Health Indicator – A machine learning project using BRFSS 2015 data to classify individuals into No Diabetes, Prediabetes, or Diabetes categories using deep learning and autoencoder-based models. Includes preprocessing, model training, evaluation, and SHAP-based feature explainability.

Language: Jupyter Notebook - Size: 7.85 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

mirhanmetin/ML-Driven-RealTime-Lifting-Stability-Tracker

Real-time monitoring system using ML to analyze lifting stability, detect anomalies, and provide injury risk feedback.

Language: HTML - Size: 2.05 MB - Last synced at: 7 days ago - Pushed at: 7 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: 39.3 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 9,353 - Forks: 1,427

mathLab/EZyRB

Easy Reduced Basis method

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 1 day ago - Pushed at: 24 days ago - Stars: 86 - Forks: 67

oke-aditya/image_similarity

PyTorch Blog Post On Image Similarity Search

Language: Python - Size: 7.16 MB - Last synced at: 1 day ago - Pushed at: about 3 years ago - Stars: 255 - Forks: 60

PolymathicAI/lola

Official implementation of "Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation"

Language: Python - Size: 182 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 18 - Forks: 0

ahmadtourei/das-anomaly

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

Language: Python - Size: 2.58 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 19 - Forks: 1

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: 4 days ago - Pushed at: 3 months ago - Stars: 148 - Forks: 26

zoppellarielena/Rainfall-runoff-modeling-using-Deep-Learning

Completed for the "Laboratory of Computational Physics Mod. B" under the supervision of Professor Carlo Albert. The project utilizes Keras in TensorFlow for implementation.

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

hangngdata/credit_card_fraud_detection

Detecting credit card fraud with unsupervised and supervised techniques

Language: Jupyter Notebook - Size: 176 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

scapeML/scape

Single-cell Analysis of Perturbational Effects using Machine Learning

Language: Python - Size: 3.54 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 5 - Forks: 4

Southla/Supervised_Learning

Supervised Learning project from TripleTen

Size: 1.95 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

jonasricker/aeroblade

[CVPR2024] AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error

Language: Python - Size: 7.24 MB - Last synced at: about 11 hours ago - Pushed at: 8 months ago - Stars: 54 - Forks: 9

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: 78.7 MB - Last synced at: 8 days ago - Pushed at: 8 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: 10 days ago - Pushed at: over 5 years ago - Stars: 1,378 - Forks: 402

roicort/rEAMember

Entropic Associative Memory (EAM) Framework

Language: Python - Size: 109 MB - Last synced at: 10 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Koustav2908/anomaly-detection

A look into anomaly detection in network traffic data to detect unusual patterns or anomalies using unsupervised learning techniques like Isolation Forest and Autoencoders.

Language: Jupyter Notebook - Size: 46.7 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

Neur-IO/ReVQ

Explore how to get a VQ-VAE models efficiently!

Language: Python - Size: 4.37 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 6 - Forks: 0

sergezaugg/feature_extraction_saec

Python package for reproducible feature extraction from spectrograms with custom pre-trained encoders

Language: Python - Size: 12.7 MB - Last synced at: 13 days ago - Pushed at: 13 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: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 1

btwxmynk/Torch

Torch is a fast, secure web framework for Rust, built on Tokio and Hyper. Create modern applications easily with minimal setup. 🚀🌟

Language: Rust - Size: 147 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ImadSaddik/TypingAnomalyDetection

Training on the typing behavior of a user with tensorflow.js and detecting anomalies with an autoencoder model

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: 15 days ago - Pushed at: 15 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: 15 days ago - Pushed at: 11 months ago - Stars: 668 - Forks: 64

shreyasbapat/Fabric-Detection

Detecting Fabric by Deep Learning Approach : Includes Classification and Matching the fabric. This enables a user to perform a search based on the fabric on top e-shopping websites like Amazon and Flipkart if integrated

Language: Jupyter Notebook - Size: 188 MB - Last synced at: 6 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 3

wubinzzu/NeuRec

Next RecSys Library

Language: Python - Size: 17.6 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 1,055 - Forks: 219

thiagoneye/master-deep_learning

Algorithms implemented in the Deep Learning discipline.

Size: 1.95 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

jsn5/dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Language: Python - Size: 1.67 MB - Last synced at: 8 days ago - Pushed at: almost 6 years ago - Stars: 519 - Forks: 82

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 34.9 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 99 - Forks: 13

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: 668 KB - Last synced at: 8 days ago - Pushed at: 19 days ago - Stars: 4 - Forks: 0

ShreeyaS-48/CreditCardFraudDetection

Project for detecting credit card frauds using neural networks and logistic regression

Language: Jupyter Notebook - Size: 152 KB - Last synced at: 2 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0

melisa002/ESMA2025

An anomaly detection package that uses 7 different methods from Time Series Methods to Machine Learning methods to flag outliers in ESMA Spark datasets.

Language: Jupyter Notebook - Size: 20.3 MB - Last synced at: 8 days ago - Pushed at: 20 days 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: 5 days ago - Pushed at: 12 months ago - Stars: 52 - Forks: 5

podgorskiy/ALAE

[CVPR2020] Adversarial Latent Autoencoders

Language: Python - Size: 203 MB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 3,525 - Forks: 556

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: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

drawcodeboy/SRL-AE

Sparse Residual LSTM Autoencoder | Robust Autoencoder for Anomaly Detection in ECG | 2024 대한전자공학회 추계학술대회 | Autumn Annual Conference of IEIE, 2024 | OMS 2

Language: Python - Size: 3.85 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 7 - Forks: 0

galbiatidavide/I-JEPA

Custom implementation of a Masked AutoEncoder (MAE) with Vision Transformer (ViT) for self-supervised image reconstruction on MNIST and Fashion-MNIST datasets. Inspired by Meta AI’s I-JEPA framework.

Language: Jupyter Notebook - Size: 52.5 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

theveryhim/Dimensionality-Reduction-and-Clustering

Simple ML-like data analysis and processing.

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

atharv132001/AIA

AIA is a dual-mode AI assistant that combines logical analysis and human-like responses for an engaging conversation experience. 🌟🤖 Explore its features on GitHub!

Language: Python - Size: 1.21 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

pmelchior/spender

Spectrum encoder and decoder

Language: Python - Size: 402 KB - Last synced at: 11 days ago - Pushed at: 5 months ago - Stars: 41 - Forks: 12

nglaz0v/workshop_omics_integration Fork of NBISweden/workshop_omics_integration

:dna: Workshop in omics integration and systems biology

Language: HTML - Size: 1.53 GB - Last synced at: 27 days ago - Pushed at: 27 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: 24 days ago - Pushed at: 6 months ago - Stars: 104 - Forks: 14

richardRadli/autoencoders_for_visual_defect_detection

Implementation of paper: Rádli, R., & Czúni, L. (2021). About the Application of Autoencoders for Visual Defect Detection.

Language: Python - Size: 3.51 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 3 - Forks: 1

boranim/Convolutional-cVAE-practice-with-MNIST

Notebook for practicing cVAE model using MNIST dataset

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

jonregef/sihl

Simple Image Heads and Layers for deep learning based computer vision

Language: Python - Size: 170 KB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 0

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 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 2

zelaki/eqvae

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

Language: Python - Size: 1.15 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 122 - Forks: 6

AutoViML/featurewiz_polars

New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

Language: Python - Size: 660 KB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 35 - Forks: 2

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: about 1 month ago - Pushed at: about 1 month 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: 23 days ago - Pushed at: about 2 months ago - Stars: 91 - Forks: 25

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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ocastillo200/SFClustering

Clustering para encontrar Soft Failures en redes ópticas

Language: Python - Size: 35.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 1

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

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Dev-Re2906/BTCETFT

Created with StackBlitz ⚡️

Language: Solidity - Size: 550 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

lucidrains/maskbit-pytorch

Implementation of the proposed MaskBit from Bytedance AI

Language: Python - Size: 295 KB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 82 - Forks: 1

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

Language: Python - Size: 230 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nicolezattarin/PointCloudCompression

Segmented PointCloud compression with DRACO, DBSCAN, Convolutional Autoencoders and 2D projection

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: about 2 hours ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

andreasMazur/variational_autoencoder

A light TensorFlow meta-class for variational autoencoder.

Language: Python - Size: 98.6 KB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

FabrizioMusacchio/dimensionality_reduction

Code used in blog post about dimensionality reduction using Python

Language: Python - Size: 1.43 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

FabrizioMusacchio/dimensionality_reduction_in_neuroscience

Course material for "Dimensionality reduction in Neuroscience"

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 3 - Forks: 1

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: about 2 months ago - Pushed at: about 2 months 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: 9 days ago - Pushed at: 8 months ago - Stars: 49 - Forks: 19

tensorlayer/awesome-tensorlayer

A curated list of dedicated resources and applications

Size: 94.7 KB - Last synced at: 7 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

chrislemke/autoembedder

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

Language: Python - Size: 935 KB - Last synced at: 1 day ago - Pushed at: 6 days ago - Stars: 8 - Forks: 0

Novartis/peax

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

Language: Jupyter Notebook - Size: 52.2 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 68 - Forks: 15

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

niazangels/vae-pokedex

The companion code for How to Autoencode your Pokemon

Language: Jupyter Notebook - Size: 35.2 MB - Last synced at: 23 days ago - Pushed at: about 8 years ago - Stars: 80 - Forks: 22

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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: about 2 months 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: about 1 month ago - Pushed at: about 4 years ago - Stars: 78 - Forks: 11

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: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

matlab-deep-learning/Industrial-Machinery-Anomaly-Detection

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

Language: MATLAB - Size: 192 MB - Last synced at: 19 days ago - Pushed at: almost 4 years ago - Stars: 48 - Forks: 19

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 2 months 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: about 2 months ago - Pushed at: 2 months 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: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

Language: Python - Size: 160 MB - Last synced at: about 2 months 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: 2 months ago - Pushed at: 2 months 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: about 2 months ago - Pushed at: over 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: about 1 month 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: 2 months ago - Pushed at: 2 months 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: 27 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

VivekPa/AIAlpha

Use unsupervised and supervised learning to predict stocks

Language: Python - Size: 13.2 MB - Last synced at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months 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: 2 months ago - Pushed at: 5 months ago - Stars: 346 - Forks: 85