Eurybia monitors data and model drift over time and securizes model deployment with data validation.
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10x faster, cheaper, and better vector database.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Fast inference engine for Transformer models in C++.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source tool that lets you package ML models in a standard, production-ready container.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An easy-to-use feature store. Optimized for time-series data.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Deploy a ML inference service on a budget in less than 10 lines of code.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
Open-source platform for high-performance ML model serving.
Bayesian Inference Tools in Python.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
SciPy tutorials. This is outdated, check out scipy-lecture-notes.
Series of notebooks for learning scikit-learn.
Tutorial on Python time-series model deployment.
A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.