ml-infrastructure

#大语言模型#Build, Deploy and Manage AI/ML Systems

翻译 - 轻松构建和管理现实生活中的数据科学项目。

#计算机科学#SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 14+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

#计算机科学#Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

翻译 - 确定：深度学习培训平台

#计算机科学#Efficient Deep Learning Systems course materials (HSE, YSDA)

#大语言模型#Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.

#计算机科学#A Collection of GitHub Actions That Facilitate MLOps

#计算机科学#🚀 Metadata tracking and UI service for Metaflow!

#计算机科学#Utilities for preprocessing text for deep learning with Keras

deploy ML Infrastructure and MLOps tooling anywhere quickly and with best practices with a single command

#计算机科学#Run GPU inference and training jobs on serverless infrastructure that scales with you.

#计算机科学#MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

#计算机科学#The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

#计算机科学#A standalone inference server for trained Rubix ML estimators.

#大语言模型#cluster/scheduler health monitoring for GPU jobs on k8s

#计算机科学#A tool for training models to Vertex on Google Cloud Platform.

#计算机科学#Example ML projects that use the Determined library.

#计算机科学#Render Jupyter Notebooks With Metaflow Cards

#博客#Kubeflow blog based on fastpages

#计算机科学#RFlow - A workflow framework for agile machine learning

#计算机科学#The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈