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Starred repositories
Model Context Protocol Servers
Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your ML and analytics workloads.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A lightweight data processing framework built on DuckDB and 3FS.
A composable and fully extensible C++ execution engine library for data management systems.
PyTorch native quantization and sparsity for training and inference
Umami is a simple, fast, privacy-focused alternative to Google Analytics.
Simple replication of DPR (Dense Passage Retrieval)
A toolkit for building dense retrievers with deep language models.
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
A Python library to inspect and modify the internal structure of a PDF file
🌎 Python library to access all public routing, isochrones and matrix APIs in a consistent manner.
Apache Doris is an easy-to-use, high performance and unified analytics database.
Apache Pinot - A realtime distributed OLAP datastore
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and bat…
Improve keyboard comfort and usability with advanced customization
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
OpenHealth, AI Health Assistant | Powered by Your Data
The httplib2 caching algorithms packaged up for use with requests.
Generate large synthetic data using an LLM
Customizable implementation of the self-instruct paper.
Synthetic data generators for tabular and time-series data
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.