Hugging Face provides machine-learning models, research, training resources, or evaluation tools.
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Hugging Face supports machine learning models, deployment, inspection, datasets, or AI development workflows.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hunyuan provides machine-learning models, research, training resources, or evaluation tools.
Platform for deploying your Machine Learning to production.
A service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
General Automated Machine Learning Framework.
A machine learning craftsmanship blog.
International Conference on Machine Learning.
iColoring provides machine-learning models, research, training resources, or evaluation tools.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
igraph provides machine-learning models, research, training resources, or evaluation tools.
Illusion Diffusion supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Indic LLM Arena provides machine-learning models, research, training resources, or evaluation tools.
Indico LLM Leaderboard provides machine-learning models, research, training resources, or evaluation tools.
Infer.NET provides machine-learning models, research, training resources, or evaluation tools.
InferKit provides machine-learning models, research, training resources, or evaluation tools.
Helps teams build, deploy, observe or operate machine-learning systems.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A toolkit to help understand models and enable responsible machine learning.