Sealbook / Open source / Machine learning y ciencia de datos

ebhy/budgetml

Deploy a ML inference service on a budget in less than 10 lines of code.

apidata-sciencedeploymentfastapiinferencemachine-learningmlops

Licencia y mantenimiento

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

Último cambio de código hace 2 años.

Proyectos similares

	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	GokuMohandas/Made-With-MLLearn how to develop, deploy and iterate on production-grade ML applications.	★ 49.8k	Jupyter Notebook	MIT	Menos activo
3	visenger/awesome-mlopsA curated list of references for MLOps	★ 14.2k	—	—	Sin cambios
4	scikit-learn/scikit-learnscikit-learn: machine learning in Python	★ 67.7k	Python	BSD-3-Clause	Activo
5	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Activo
6	streamlit/streamlitStreamlit — A faster way to build and share data apps.	★ 46k	Python	Apache-2.0	Activo
7	gradio-app/gradioBuild and share delightful machine learning apps, all in Python. 🌟 Star to support our work!	★ 43.8k	Python	Apache-2.0	Activo
8	deepspeedai/DeepSpeedDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.	★ 43.2k	Python	Apache-2.0	Activo