Serving
tensorflow
A flexible, high-performance serving system for machine learning models
OPENAGENTSKILL / DIRECTORY
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Results: 30
tensorflow
A flexible, high-performance serving system for machine learning models
zzsza
부스트캠프 AI Tech - Product Serving 자료
clearml
ClearML - Model-Serving Orchestration and Repository Solution
hardikpandya
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
mosecorg
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
blader
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps so…
SPLWare
esProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.
FedML-AI
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further e…
matrixorigin
AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.
GradientHQ
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
young-geng
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
codefuse-ai
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
dstackai
Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first p…
dstackai
Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format. Use together with the dstack skill,…