Exploratory analysis of Bayesian models with Julia
OpenCL Julia bindings
Repository for Digital Earth Australia Jupyter Notebooks
CEED Library: Code for Efficient Extensible Discretizations
Scale your Pandas workflows by changing a single line of code
Swiple enables you to easily observe, understand, validate data
re_data - fix data issues before your users & CEO would discover them
The toolkit to test, validate, and evaluate your models and surface
Open-source data observability for analytics engineers
The open standard for data logging
Library providing end-to-end GPU-accelerated recommender systems
The standard data-centric AI package for data quality and ML
Synthetic data generators for structured and unstructured text
Training data (data labeling, annotation, workflow) for all data types
The open-source tool for building high-quality datasets
Tool for visualizing and tracking your machine learning experiments
AutoGluon: AutoML for Image, Text, and Tabular Data
A real-time visualisation of the CO2 emissions of electricity
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
Always know what to expect from your data
.NET Standard bindings for Google's TensorFlow for developing models
Automatic extraction of relevant features from time series
Best practices on recommendation systems
A package for Counterfactual Explanations and Algorithmic Recourse