Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
created at Oct. 11, 2021, 2:48 p.m.
Fast, flexible and easy to use probabilistic modelling in Python.
created at Nov. 24, 2014, 6:36 p.m.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
created at Nov. 5, 2018, 12:58 p.m.
StellarGraph - Machine Learning on Graphs
created at April 13, 2018, 7:35 a.m.
A Hyperparameter Tuning Library for Keras
created at June 6, 2019, 10:38 p.m.
A python library for self-supervised learning on images.
created at Oct. 13, 2020, 1:02 p.m.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
created at Jan. 13, 2019, 2:32 a.m.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
created at Dec. 5, 2018, 4:04 p.m.
Easy benchmarking of all publicly accessible implementations of convnets
created at July 12, 2014, 3:18 a.m.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
created at June 27, 2020, 1:11 a.m.
An intuitive library to add plotting functionality to scikit-learn objects.
created at Feb. 4, 2017, 6:22 a.m.