run-house/kubetorch

Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.

artificial-intelligenceawsdata-processingdata-sciencedistributedevaluationgcpinferenceinfrastructurekubernetes

Licencia y mantenimiento

Apache-2.0 es una licencia permisiva: uso comercial libre con atribución.

Último cambio de código hace 4 meses.

	Repositorio	Estrellas	Lenguaje	Licencia	Actividad
1	aws/amazon-sagemaker-examplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.	★ 11k	Jupyter Notebook	Apache-2.0	Activo
2	explosion/spaCy💫 Industrial-strength Natural Language Processing (NLP) in Python	★ 34k	Python	MIT	Activo
3	Lightning-AI/pytorch-lightningPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.	★ 31.4k	Python	Apache-2.0	Activo
4	donnemartin/data-science-ipython-notebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HD	★ 29.4k	Python	Other	Sin cambios
5	PrefectHQ/prefectPrefect is a workflow orchestration framework for building resilient data pipelines in Python.	★ 24k	Python	Apache-2.0	Activo
6	Tencent/ncnnncnn is a high-performance neural network inference framework optimized for the mobile platform	★ 24k	C++	Other	Activo
7	marimo-team/marimoA reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git.	★ 23.2k	Python	Apache-2.0	Activo
8	microsoft/nniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model comp	★ 14.4k	Python	MIT	Archivado