GliGli's TileMotion video codec (data science / machine learning inspired; trivially simple to decode)

Config files for my GitHub profile.

🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.

Workshop on Sample Size Planning for Intensive Longitudinal Studies

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Create UIs for your machine learning model in Python in 3 minutes

Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

A repository of pretty cool datasets that I collected for network science and machine learning research.

An orchestration platform for the development, production, and observation of data assets.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Serve any model without boilerplate code

Hopsworks - Data-Intensive AI platform with a Feature Store

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Open Source Feature Flagging and A/B Testing Platform

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

Machine learning experiment tracking and data versioning with DVC extension for VS Code

CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

R Library for Analytics and Machine Learning

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

matplotlib: plotting with Python

A toolkit for time series machine learning algorithms.

The Python DataFrame for Complex Data