Neural network inference from the command line, implemented in CHICKEN Scheme.
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A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Algorithms for learning and inference with discrete probabilistic models.
A model gateway and unified interface for multiple model providers.
Collection of infrastructure and tools for research in neural network interpretability.
Observability and prompt management platform for LLM-based apps. Take your LLMs to the next level.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Helps teams build, deploy, observe or operate machine-learning systems.
Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
Version and deploy your ML models following GitOps principles.
An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.
MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.