Search results

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

LLMSTXT.NEW provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

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.

A platform for deploying and serving machine learning models.

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.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Full-stack AI platform focused on multimodal agents and consumer-scale deployment.

Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.

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.

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

OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).

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.

Easy-to-use library to boost AI inference.

A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.