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Explore the skillServing
tensorflow
A flexible, high-performance serving system for machine learning models
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28 Skills
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Explore the skilltensorflow
A flexible, high-performance serving system for machine learning models
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Explore the skillclearml
ClearML - Model-Serving Orchestration and Repository Solution
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Explore the skillServes an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CP
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Explore the skillmosecorg
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
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Explore the skillclearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps so…
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Explore the skillSPLWare
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.
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Explore the skillFedML-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…
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Explore the skillmatrixorigin
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.
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Explore the skillGradientHQ
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
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Explore the skillyoung-geng
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
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Explore the skillcodefuse-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.
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Explore the skillOrchestra-Research
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <…
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Explore the skilldstackai
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…
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Explore the skilldstackai
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,…
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Explore the skillRichmondAlake
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility cl…