Machinelearning Python Python Packages

covalent

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

mllint

`mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.

fern2

A model development structure control for NLP

cova

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

amazon-denseclus

Clustering for mixed-type data

validatedata

Lightning-fast validation in python.

tsauditor

A data quality auditing library for time-series tabular data with data-driven leakage detection.

metaheuristicsfs

Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization

covalent-slurm-plugin

Executor plugin interfacing Covalent with Slurm

causaltorch

CausalTorch is a PyTorch library for building generative models with explicit causal constraints. It integrates graph-based causal reasoning with deep learning to create AI systems that respect logical causal relationships.

streamsql

StreamSQL is a feature store for machine learning.

archivetextminer

Transform textual information to structured metadata in MDTO-format.

pyneo

A model development structure control for NLP

samgis

SamGIS can do machine learning-based (Segment Anything by Meta - Facebook) image segmentation tasks applied to GIS and geo data

mlnotify

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

predict-gender-ml

Tool to predict a person's gender based on their name using ML Models.

evolutionary-optimization-algorithm

A generic evolutionary algorithm for function optimisation.

praxxis

A task interface for Jupyter notebooks built on machine learning and big data

soln-ml

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

evolutionary-optimization

A generic evolutionary algorithm for function optimisation.

eazeml

Eaze-ML, Machine Learning & Data Science made easy.

mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

sentiment-analysis-es

Spanish Sentiment Analysis using Multinomial Naive Bayes