model-deployment
h4vzz
Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.
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Results: 8
h4vzz
Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.
peremartra
Practical course about Large Language Models.
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
shap
A game theoretic approach to explain the output of any machine learning model.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
mosaicml
kubeflow
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes