Build data pipelines, the easy way
The data structure for multimodal data
A tool to help improve data quality standards in data science
SIT742: Modern Data Science
Detecting silent model failure. NannyML estimates performance
Library providing end-to-end GPU-accelerated recommender systems
CARTO Python package for data scientists
Data science on data without acquiring a copy
Best practices on recommendation systems
A reactive notebook for Python
Serve machine learning models within a Docker container
Train machine learning models within Docker containers
Graphical User Interface Toolkit for Python with minimal dependencies
.NET Standard bindings for Google's TensorFlow for developing models
Automatic extraction of relevant features from time series
A library of extension and helper modules for Python's data analysis
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
Molecular simulation in Julia
Bayesian Statistics using Julia and Turing
A privacy-protecting, digital currency built on strong science
Climate science package for Julia
State machines and statecharts for the modern web
An API Oriented Open-source Python Framework for Unsupervised Learning
Explainability and Interpretability to Develop Reliable ML models
Build and deploy machine learning microservices