caglanakpinar

caglanakpinar's Stars

• caglanakpinar/tsad

  Anomaly Detection For Time Series Framework With Web Interface

  Language:Python94

• caglanakpinar/customer_analytics

  Language:Python11

• gboeing/osmnx

  OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

  Language:Python4.8k821

• bdon/OSMExpress

  Fast database file format for OpenStreetMap

  Language:C++23719

• keras-team/keras

  Deep Learning for humans

  Language:Python61.6k19.4k

• app-generator/flask-adminkit

  Flask Dashboard - AdminKit Bootstrap 5 | AppSeed

  Language:HTML214

• chunbikm59/pysad

  Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

  1

• blacktop/docker-elasticsearch-alpine

  Alpine Linux based Elasticsearch Docker Image

  Language:Shell19181

• o19s/elasticsearch-ltr-demo

  This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.

  Language:HTML3619

• stanfordnlp/CoreNLP

  CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

  Language:Java9.6k2.7k

• stanfordnlp/stanza

  Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

  Language:Python7.2k888

• caglanakpinar/pageRank-with-elasticsearch

  Language:Python1

• caglanakpinar/seo-nlp-page-rank-word-embeddings

  Language:Python1

• jphall663/interpretable_machine_learning_with_python

  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

  Language:Jupyter Notebook673207

• h2oai/tutorials

  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more...

  Language:Jupyter Notebook12952

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python219k24.8k

• caglanakpinar/Regression_Desktop_Application

  1

• caglanakpinar/A-B-Test-Bayesian-Approach-Without-Estimated-Parameters

  Language:Python1

• caglanakpinar/customer_segmentation_with_rfm_clustering

  Language:Jupyter Notebook1