Showing 1521-1540 of 5,250 projects
A novel data compression framework written in C with a focus on performance and efficiency.
An immutable SQL database for application development, time-travel reporting and data compliance.
In-browser Postgres sandbox with AI assistance for vibe coders building with AI tools.
Scalable and efficient data transformation framework with backwards compatibility for dbt.
This is a PyTorch implementation of Cross-lingual Language Model Pretraining, a research project focused on multilingual NLP.
C++ DataFrame library for statistical, financial, and machine learning analysis.
ConceptNet is a knowledge graph that represents general human knowledge, useful for building AI applications.
Spring integration for MyBatis 3, a popular Java persistence framework.
A Python library that provides a set of customizable pipeline processing blocks for data processing tasks.
A curated collection of public EEG datasets for researchers and developers working with brain-computer interfaces.
WWW SQL Designer is an online SQL diagramming tool for developers to visually design and manage databases.
A library for efficient and user-friendly reinforcement learning with large language models
Open-source media server with a web and desktop app for anime and manga fans
A PHP library that extends the built-in reflection API to provide additional functionality for working with classes, methods, and properties.
An implementation of differential dataflow using timely dataflow on Rust, a powerful tool for data processing.
A command-line tool for processing YAML, XML, and TOML documents, built as a wrapper around the popular jq JSON processor.
This is an Android app for contact tracing during the COVID-19 pandemic, not a vibe coder tool.
A Python script to fetch Garmin health data and populate it in an InfluxDB database for visualization in Grafana.
100 data puzzles for pandas, ranging from simple to super tricky, suitable for learning and practicing data analysis with Python.
A PyTorch implementation of the TabNet paper, a novel deep learning architecture for tabular data.
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