High performance distributed data processing in NodeJS.
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Flexible, high-performance serving system for machine learning models.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Creates or edits images with generative models and visual controls.
Vaex is a Python library that allows you to visualize large datasets and calculate statistics at high speeds.
Highly Scalable Distributed Vector Search Engine.
GPU-based high-performance interactive OpenGL 2D/3D data visualization library.
Remove unwanted objects from photos, people, text, and defects from any picture for free. It.
Generating videos from scripted prompts.
Open-solution-home-credit - source code and for Home Credit Default Risk.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
A scalable general purpose micro-framework for defining dataflows.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
Define rules for communication and cooperation.
Source code and experiments results for Home Credit Default Risk.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.