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dockerized_scalable_ml

Machine Learning model training & scalable deployment with Flask, Nginx & Gunicorn wrapped in a Docker Container

easy-concurrency-in-python

The code that accompanies my blog article 'Easy Concurrency in Python'

entity-embedding-rossmann

entityembedding-working_example

This repository contains a notebook demonstrating the practical implementation of the so-called Entity Embedding for Encoding Categorical Features for Training a Neural Network.

feature-selection

Awesome papers on Feature Selection

fil_backend_dbg_20230222

FIL backend for the Triton Inference Server

flask-demo

Docker demo container with flask

flask_api

Creating a Machine Learning API using Flask - Repository for AV Article

gbdt-algos-performance-tests

A systematic CPU/GPU performance study of lightgbm and xgboost classifiers for different data shapes and hardware setups.

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

imdb_deploy

Deploy an IMDB sentiment analysis model using kubernetes

ipython-notebooks

A collection of IPython notebooks covering various topics.

jenkins-on-ubuntu2204

Docker official jenkins repo

kaggle-kobe-bryant-shot-selection

Kaggle solver

kaggle-porto-safe-driver-prediction

won silver medal, 164th of 5169

kaggle-porto-seguro

2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction

kaggle-portosegurosafedriverprediction

My solution for the Kaggle competition Porto Seguro Safe Driver Prediction. This solution uses an Ensemble of different algorithms and ranked 138 out of 5169 (Top 3%).

kantu

Kantu for Chrome and Firefox - Modern Web Browser Automation plus Selenium IDE

lstm-trading

luigi_rosmann_sales

Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle

machine-learning-in-tabpy

End-to-end modeling data science workflow to train and load a machine learning model into TabPy for use in Tableau.

mapd-ml-demo

demo docker image for machine learning using pymapd

mariadb-from-redhat

MariaDB container images based on Red Hat Software Collections and intended for OpenShift and general usage. Users can choose between Red Hat Enterprise Linux, Fedora, and CentOS based images.

minio-openshift

Minio Object Storage Server

ml-containers-wish-list

Wish lists (new features and libraries) for the next update of our containers

mlaas

Machine Learning As Service with OpenFaas

mlflow

Open source platform for the machine learning lifecycle

mlflow-minio-h2o-example

MLflow-tracking server example with Minio and H2O

nxdesktop

Ubuntu 16.04 Desktop in Docker Container with Nomachine 5

openenclave

SDK for developing enclaves