Showing 221-240 of 380 projects
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
Single-cell analysis in Python, scaling to >100M cells.
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Open-source Python library for feature engineering and selection, compatible with scikit-learn.
ArcticDB is a high-performance, serverless DataFrame database for the Python data science ecosystem.
A modern, open-source notebook replacement built with TypeScript and DuckDB
A comprehensive compendium of resources for machine learning and deep learning development.
A repository containing notebooks of posts on Medium, focused on AI, data science, and machine learning topics.
Tidy Viewer is a cross-platform CLI tool for pretty printing CSV data with customizable column styling.
Framework for collecting and analyzing prediction market data with comprehensive Polymarket/Kalshi datasets.
A collection of Jupyter Notebook codes and tutorials for a variety of AI projects and data science tasks.
A GPU-accelerated SQL engine for Python, built on RAPIDS cuDF, for high-performance data processing and analysis.
Fast, accurate, and scalable probabilistic data linkage with support for multiple SQL backends.
Official Azure Machine Learning examples, tested with GitHub Actions, for data science and ML projects.
The Virtual Feature Store that turns existing data infrastructure into a feature store for machine learning.
A Python toolkit for building machine/deep learning models on partially-observed time series data
Bytewax is a Python library for building scalable, fault-tolerant, and low-latency data processing pipelines.
A Python library for making stock predictions using machine learning and historical stock data.
Feathr is a scalable, unified data and AI engineering platform for enterprises, with features like feature engineering, feature governance, and a feature marketplace.
Study guides and resources for MIT's 15.003 Data Science Tools course, covering bash, data science, git, SQL, and more.
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