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An Open Source Machine Learning Framework for Everyone
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
FlashMLA: Efficient Multi-head Latent Attention Kernels
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 comp…
High-speed Large Language Model Serving for Local Deployment
Fit interpretable models. Explain blackbox machine learning.
DuckDB-powered Postgres for high performance apps & analytics.
Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
High-Performance Implementation of OpenAI's TikToken.
An open source, standard data file format for graph data storage and retrieval.
DuckDB extension that adds support for SQL/PGQ and graph algorithms
Experimental DuckDB Kafka Consumer Extension