This project combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application (with docker-compose).
Copyright (c) 2021 Philip May
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License by reviewing the file LICENSE in the repository.
Turns your machine learning code into microservices with web API, interactive GUI, and more.
Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L
SLAM-application: installation and test (3D): LeGO-LOAM, LIO-SAM, and LVI-SAM Tested on Quadruped robot in Gazebo ● Results: video, video2 Requirement
img2palette Turning images into '9-pan' palettes using KMeans clustering from sklearn. Requirements We require: Pillow, for opening and processing ima
A Python-based application demonstrating various search algorithms, namely Depth-First Search (DFS), Breadth-First Search (BFS), and the A* Search (using the Manhattan Distance Heuristic)
AppleStore-classification-with-Machine-learning-Algo- using Machine Learning Algorithm to classification AppleStore application. the first step : 1: p
Katana project is a FastAPI template for ASAP 🚀 ML API deployment
probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution
Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast
HPOflow - Sphinx DOC Tools for Optuna, MLflow and the integration of both. Detailed documentation with examples can be found here: Sphinx DOC Table of
SKlearn_to_MLFLow In this Repo a simple Sklearn Model will be trained and pushed to MLFlow Install This Repo is based on poetry python3 -m venv .venv
mlflow-azurite-postgres docker This is a MLFLow image which works with a postgres DB and a local Azure Blob Storage Instance (Azurite). This image is
Katana ML Skipper This is a simple and flexible ML workflow engine. It helps to orchestrate events across a set of microservices and create executable
PosteriorStacker Combines Bayesian analyses from many datasets. Introduction Method Tutorial Output plot and files Introduction Fitting a model to a d
CorrProxies - Optimizing Machine Learning Inference Queries with Correlative Proxy Models
DistML is a Ray extension library to support large-scale distributed ML training on heterogeneous multi-node multi-GPU clusters
Docker-compose for Machine Learning How to use: cd docker-ml-jupyterlab
LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms Based on the work by Smith et al. (2021) Query
AIDB v0.0.1 database for artificial intelligence/machine learning data Overview aidb is a database designed for large dataset for machine learning pro
2.8k Jan 2, 2023
1 Jun 3, 2022
203 Dec 26, 2022
2 Jan 1, 2022
17 Aug 14, 2022
2 May 2, 2022
100 Dec 26, 2022
1 Oct 25, 2022
2 Apr 18, 2022
17 Nov 20, 2022
1 Dec 13, 2021
8 Nov 17, 2022
19 Feb 13, 2022
8 Jun 7, 2022
27 Aug 19, 2022
1 Oct 29, 2021
5 Aug 6, 2022
1 Oct 24, 2021