Open source MLOps platform that helps you collaborate, reproduce and share your ML work.
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MMDeploy supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
ModelFox is a platform for managing and deploying machine learning models.
Models.dev supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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.
Deploy LangChain Agents and connect them to Telegram.
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.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Neural networks framework in pure C: training and inference, no dependencies.
NuMind builds state-of-the-art multimodal LLMs for document extraction, available via SaaS or enterprise deployment for control and privacy.
NVIDIA NIM supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.