Lists (17)
Starred repositories
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Beancount: Double-Entry Accounting from Text Files.
A toolkit to run Ray applications on Kubernetes
A portable Multimodal Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your ML and analytics workloads.
🦜🔗 The platform for reliable agents.
BlackHole is a modern macOS audio loopback driver that allows applications to pass audio to other applications with zero additional latency.
⎈ Multi pod and container log tailing for Kubernetes -- Friendly fork of https://github.com/wercker/stern
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
No fortress, purely open ground. OpenManus is Coming.
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
Docker image that provides a Minecraft Server for Java Edition that automatically downloads selected version at startup
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
A fast, reliable and cross-platform command-line Minecraft launcher and API for developers. Including fast and easy installation of common mod loaders such as Fabric, Forge, NeoForge and Quilt.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
🐻 Bear necessities for state management in React
Protocol Buffers for ECMAScript. The only JavaScript Protobuf library that is fully-compliant with Protobuf conformance tests.
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & co…
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.