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.

scalecast

The practitioner's forecasting library

hypster

HyPSTER - Configuration Framework for Optimizing AI & AI Systems

lucifer-ml

Semi-Auto Machine Learning Library by d4rk-lucif3r

autointent

Automated machine learning for text classification

orion

Asynchronous Distributed Hyperparameter Optimization.

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.

aimet-tensorflow

AIMET for TensorFlow

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.

deepfastvision

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

auto-ml-cl

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

insolver

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

mlbox

A powerful Automated Machine Learning python library.

mcfly

A deep learning tool for time series classification and regression

libra

Ergonomic machine learning for everyone.

featurewiz-polars

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

pytorch-autotune

🚀 2-4x faster PyTorch training with one line of code. Beats torch.compile by 79%. Zero config, automatic hardware optimization for T4/V100/A100/H100 GPUs.

mantis-ml

Disease-agnostic gene prioritisation from high-throughput genomic screens by stochastic semi-supervised learning

test-ci-release

Automated machine learning for text classification

py-search-space

Python's DSL to describe the search space of search problems

automl-engine

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

tai-chi-engine

No description available