The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
updated at May 17, 2024, 9:18 p.m.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
updated at May 17, 2024, 9:18 p.m.
Library for translating between 200 languages. Built on 🤗 transformers.
updated at May 17, 2024, 6:31 p.m.
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
updated at May 17, 2024, 4:52 p.m.
A general purpose recommender metrics library for fair evaluation.
updated at May 17, 2024, 4:52 p.m.
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
updated at May 17, 2024, 3:28 p.m.
A Comparative Framework for Multimodal Recommender Systems
updated at May 17, 2024, 10:09 a.m.