A Python module written in rust to encode DNA sequences for machine learning

MuDoGeR makes the recovery of genomes from prokaryotes, viruses, and eukaryotes from metagenomes easy.

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

framework to predicting rna-protein interactions

Feature Extraction Package for Biological Sequences

Aliro: AI-Driven Data Science

Democratizing Machine Learning in the Study of Molecular Interactions

Hybrid Deep Learning Approach with Integrated Feature Extraction Techniques for Enhanced Biological Sequences Classification

Datasets of Neuropsychological Language Tests in Brazilian Portuguese

BioAutoML: Automated Feature Engineering and Metalearning

Python Meta-Feature Extractor package.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Automated machine learning for analyzing, interpreting, and designing biological sequences

iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting…

A Python library for dynamic classifier and ensemble selection

Feature engineering and selection open-source Python library compatible with sklearn.

Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

A python fast feature selection for supervised learning

Web-based app for labeling DICOM files in Python.

Repository created to gather some of the code written for the "Machine Learning Applications and Data Mining" course at the ICMC - University of São Paulo in 2019.

Implementation of a 3D face reconstruction model from low-resolution images.

Algorithms for face super resolution implemented in Pytorch.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.