milanvhb

milanvhb's Stars

• bhachauk/networkviewer_shiny

  Simple view for networks :globe_with_meridians: with various R Shiny plots :chart_with_upwards_trend:

  Language:R41

• david-cortes/costsensitive

  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

  Language:Python4719

• eugeniaring/Medium-Articles

  Repository with all my blog posts on data science and machine learning learning topics

  Language:Jupyter Notebook7718

• ozora-ogino/padim-anomaly-detection

  PaDiM implementation for anomaly detection

  Language:Python5

• toshikwa/vae.pytorch

  PyTorch Implementation of Deep Feature Consistent Variational Autoencoder.

  Language:Python123

• Dylanalytics/ml_nlp_sentiment_analysis_classification_model_pyspark

  Utilized Pyspark library and Databricks resources to conduct NLP analysis on Amazon customer reviews. Built NLP data preprocessing and feature engineering into classification pipeline to predict whether a customer review is helpful or unhelpful

  Language:Jupyter Notebook1

• vaithak/Variational-Autoencoder

  Implementation of Variational Autoencoder in Pytorch for MNIST dataset.

  Language:Jupyter Notebook1

• amiradridi/Job-Resume-Matching

  The idea is to calculate the similarity between the resume and the job description and then return the resumes with the highest similarity score.

  Language:Python9427

• Spidy20/Smart_Resume_Analyser_App

  This is web application for the Resume Analyser.

  Language:Python163126

• shib0li/VAE-torch

  PyTorch implementation of Variational Auto-encoder

  Language:Jupyter Notebook73

• ac-alpha/VAEs-using-Pytorch

  Variational Autoencoders trained on MNIST Dataset using PyTorch

  Language:Jupyter Notebook63

• aniket-agarwal1999/VAE-Pytorch

  Implementation of Variational Autoencoder in Pytorch

  Language:Jupyter Notebook111

• assassint2017/Generative-model-using-pytorch

  implement GANs and VAE using pytorch

  Language:Python132

• chendaichao/VAE-pytorch

  Pytorch implementation for VAE and conditional VAE.

  Language:Jupyter Notebook297

• lyeoni/pytorch-mnist-VAE

  Language:Jupyter Notebook10946

• sksq96/pytorch-vae

  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

  Language:Jupyter Notebook29564

• bvezilic/Variational-autoencoder

  PyTorch implementation of Variational Autoencoder (VAE) on MNIST dataset.

  Language:Jupyter Notebook212

• Jackson-Kang/Pytorch-VAE-tutorial

  A simple tutorial of Variational AutoEncoders with Pytorch

  Language:Jupyter Notebook32474

• tomii926/ae_vae

  Comparison between Autoencoder and Variational Autoencoder in anomaly detection

  Language:Python1

• ForestsKing/VAE_anomaly_dection

  PyTorch implementation of VAE-anomaly-dection (Variational Autoencoder based Anomaly Detection using Reconstruction Probability)

  Language:Python4

• xu-peng/VAE_Skin

  Anomaly Detection for Skin Diseases

  Language:Python21

• ldeecke/vae-torch

  Variational autoencoder for anomaly detection (in PyTorch).

  Language:Python4812

• Michedev/VAE_anomaly_detection

  Language:Python19439

• roselidev/VAE_for_yarn

  failed project for yarn defect detection - anomaly detection approach on manually assigned ROI

  Language:Jupyter Notebook1

• LucFrachon/vae_anomaly_detection

  Anomaly detection using a Variational Auto-Encoder

  Language:Jupyter Notebook2

• solangii/Anomaly-Detection

  Anomaly detection using VAE

  Language:Python1

• cross32768/VAE_anomaly

  Variational Autoencoder for anomaly detection

  Language:Jupyter Notebook62

• SurajMalpani/NLP-using-Spark

  Natural Language Processing using PySpark MLlib.

  Language:Jupyter Notebook43

• maobedkova/TopicModelling_PySpark_SparkNLP

  Tutorial for Topic Modelling using PySpark and Spark NLP

  Language:Jupyter Notebook165

• OctaviaOZ/Introduction-to-Data-Analytics-and-Artificial-Intelligence

  scraping Indeed vacancies + NLP preprocessing

  Language:Jupyter Notebook1