ML
Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Fast SHAP value computation for interpreting tree-based models
An automatic ML model optimization tool.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Provide an input CSV and a target field to predict, generate a model + code to run it.
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
An open-source unsupervised time-series anomaly detection package by Getcontact Data Team
Chaospy - Toolbox for performing uncertainty quantification.
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
NeuralProphet: A simple forecasting package
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Extra blocks for scikit-learn pipelines.
An open-source, low-code machine learning library in Python
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A unified framework for machine learning with time series
Metric learning algorithms in Python
A machine learning package for streaming data in Python. The other ancestor of River.
A game theoretic approach to explain the output of any machine learning model.
Interpretability and explainability of data and machine learning models
scikit-learn inspired API for CRFsuite