An implementation of the Grammar of Graphics in R
Vector database for scalable similarity search and AI applications
Data science on data without acquiring a copy
High-Performance Serverless event and data processing platform
Graphical User Interface Toolkit for Python with minimal dependencies
Library providing end-to-end GPU-accelerated recommender systems
Scalable and Flexible Gradient Boosting
Streamline your ML workflow
A framework for real-life data science
Simple and distributed Machine Learning
Data science spreadsheet with Python & SQL
Detecting silent model failure. NannyML estimates performance
Build data pipelines, the easy way
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
Project structure for doing and sharing data science work
Automatic extraction of relevant features from time series
The Go kernel for Jupyter notebooks and nteract
Slides and Jupyter notebooks for the Deep Learning lectures
For building machine learning (ML) workflows and pipelines on AWS
FlexiList is a Java data structure that combines the benefits of array
All-in-one web-based IDE specialized for machine learning
Jupyter notebooks that demonstrate how to build models using SageMaker