Auto Ml Python Packages

aimet-torch

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

aimet-onnx

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

divik

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

orion

Asynchronous Distributed Hyperparameter Optimization.

scalecast

The practitioner's forecasting library

lucifer-ml

Semi-Auto Machine Learning Library by d4rk-lucif3r

hypster

HyPSTER - Configuration Framework for Optimizing AI & AI Systems

insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

imputegap

ImputeGAP is a comprehensive Python library for imputation of missing values in time series data. It implements user-friendly APIs to easily visualize, analyze, and repair incomplete time series datasets.

pspso

pspso is a package for selecting machine learning algorithms parameters based on PSO algorithm.

autointent

Automated machine learning for text classification

auto-ml-cl

3 lines of code for automate machine learning for classification and regression

libra

Ergonomic machine learning for everyone.

mcfly

A deep learning tool for time series classification and regression

test-ci-release

Automated machine learning for text classification

pytorch-autotune

Measurement-driven PyTorch training autotuner — tries precision × torch.compile × memory-format configs on your model, keeps the fastest, never returns one slower than your baseline. Honest, committed benchmarks.

featurewiz-polars

New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

tai-chi-engine

A prototype for unpackai new modules,

mlbox

MLBox is a powerful Automated Machine Learning python library.

lazypredict-nightly

Lazy Predict Nightly enables rapid benchmarking of machine learning models with just a few lines of code. It helps identify the best-performing algorithms on your dataset without requiring hyperparameter tuning.

mantis-ml

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

deepfastvision

A Python library for rapid prototyping of deep transfer learning vision models.

deep-xf

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

nylon-ai

An intelligent, flexible grammar of machine learning.