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Awesome Production Machine Learning

github.com

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

BIDMat

github.com

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

GaussianMixtures

github.com

Large scale Gaussian Mixture Models.

Gobii

github.com

Gobii is an open-source platform for deploying and managing browser-use agents at scale with a conversational interface and API.

Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale

KubeAI

github.com

Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.

Mars

github.com

A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.

Model Search

github.com

Framework that implements AutoML algorithms for model architecture search at scale.

ORYX

github.com

Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.

scalene

github.com

High-performance, high-precision CPU, GPU, and memory profiler for Python.

Spark

github.com

Spark is a fast and general engine for large-scale data processing.

A JVM library for all Twitch APIs, including Chat, Helix, and EventSub (webhook/websocket/conduit). It includes advanced features for large-scale apps such as connection pooling, rate-limiting, and more!