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A flexible and easy to use tool for serving PyTorch models.

OpenTelemetry-based observability and monitoring for LLM and agents workflows.

Provides an optimized cloud and edge inferencing solution.

Highly Scalable Distributed Vector Search Engine.

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Python vector database you just need - no more, no less.

Store, search, organize and make machine-learned inferences over big data at serving time.

Machine Learning Operations - An awesome list of references for MLOps.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

The open source standard for data logging. Enables ML monitoring and observability.

Julia module for Distance evaluation.

Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

Open Diffusion Models for High-Quality Video Generation.

Creates or edits images with generative models and visual controls.

Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.

Creates or edits images with generative models and visual controls.

Audio generation using diffusion models, in PyTorch.

Provide an input CSV and a target field to predict, generate a model + code to run it.

Open-source project that catalogs AI services and resources for browsing by feature or use case.

Organizes AI tools and resources so people can browse and compare relevant services.

A curated list of pretrained CoreML models.

Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.