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Petastorm is a library developed by Uber for deep learning model training and evaluation. It supports single-machine and distributed workflows with datasets in Apache Parquet format, is compatible with TensorFlow, PyTorch, and PySpark, and can be used via pure Python code.
Rapid-MLX is an open-source, Apache 2.0 licensed large language model inference server and Mac application for Apple Silicon devices. It is compatible with OpenAI and Anthropic APIs, built on the MLX framework, and focused on reliable tool calling for coding agents.
Rune is a project that provides containers to encapsulate and deploy EdgeML pipelines and applications. It is associated with the repository hotg-ai/rune and is licensed under Apache 2.0 or MIT at the user's option.
SAMOA was an Apache Incubator podling that provided a collection of distributed streaming algorithms for data mining and machine learning tasks such as classification, clustering and regression, plus programming abstractions for developing new algorithms on distributed stream processing engines. Its pluggable architecture allowed it to run on several engines. The podling retired on 2021-03-11.
Snorkel is a system for quickly generating training data with weak supervision, released under an Apache-2.0 license and written in Python. The project started at Stanford in 2015 to programmatically label, build, and manage training data. The team now focuses on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters. It provides high-level APIs in Java, Scala, Python and R, and supports Spark SQL, pandas API on Spark, MLlib, GraphX and Structured Streaming. The documentation covers downloads, the shell and client applications.
Statewave is an open-source memory runtime for AI agents. It uses reproducible, provenance-tagged context bundles in place of query-time retrieval, is licensed under Apache-2.0, self-hosted on Postgres with pgvector, and offers Python and TypeScript SDKs. The project is hosted on GitHub under the smaramwbc organization.
Apache Storm is a free and open source distributed realtime computation system. It processes unbounded streams of data and is simple, can be used with any programming language, and integrates with queueing and database technologies. Listed use cases include realtime analytics, online machine learning, continuous computation, distributed RPC and ETL.
Structured State Spaces for Sequence Modeling is a GitHub repository providing official implementations and experiments for models related to S4, including HiPPO, LSSL, SaShiMi, DSS, S4D and S4ND. It states requirements of Python 3.9+ and Pytorch 1.10+, and is released under an Apache-2.0 license.
Apache Superset is an open-source data exploration and visualization platform. It offers a no-code visualization builder and a SQL IDE, connects to SQL-based databases, and ships with more than 40 pre-installed visualization types. It includes dashboards, a chart builder, SQL Lab and datasets, with a plug-in architecture for custom visualizations.
threestudio is a framework for 3D content generation, described by its repository as a unified framework. The project includes configuration files, documentation, scripts and a Gradio application. It is released under the Apache-2.0 license.
Tribuo is a machine learning library written in Java, developed by Oracle Labs' Machine Learning Research Group and released under the Apache 2.0 license. It supports classification, regression, clustering, anomaly detection and multi-label classification, and provides interfaces to libraries such as XGBoost and TensorFlow along with ONNX model exchange support.
Vespa is an AI search platform. Its repository contains the code required to build and run Vespa. The project covers searching, making inferences in and organizing vectors, tensors, text and structured data at serving time and any scale. It is licensed under Apache 2.0.
