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.
nbdime provides tools for diffing and merging of Jupyter Notebooks.
pytools is an open source library containing general machine learning and visualisation utilities for reuse, including: Basic tools for API developmen
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with
easyNeuron is a simple way to create powerful machine learning models, analyze data and research cutting-edge AI.
It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.
PosteriorStacker Combines Bayesian analyses from many datasets. Introduction Method Tutorial Output plot and files Introduction Fitting a model to a d
Implementation of different ML Algorithms from scratch, written in Python 3.x
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.
Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
formulae formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations li
PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
🌄 Scalecast: Dynamic Forecasting at Scale About This package uses a scaleable forecasting approach in Python with common scikit-learn and statsmodels
GluonTS - Probabilistic Time Series Modeling in Python GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (
Automated data search library for your machine learning pipelines → find & deliver relevant external data & features to boost ML accuracy :chart_with_upwards_trend:
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