aws / deep-learning-containers

Amazon Web Services 命令行工具

AWS 云开发工具包，可让您使用熟悉的编程语言来定义云应用程序资源。

Python Serverless Microframework for AWS

#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

DSPy: The framework for programming—not prompting—language models

#大语言模型#Machine Learning Engineering Open Book

Style transfer, deep learning, feature transform

大模型Grok-1开源

#大语言模型#The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

#计算机科学#Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

Go ahead and axolotl questions

#计算机科学#Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

#大语言模型#Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, Qwen3, Llama 4, DeepSeek-R1, Gemma 3, TTS 2x faster with 70% less VRAM.

a state-of-the-art-level open visual language model | 多模态预训练模型

Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

Bibliography for Publications about Deep Learning using GPU

#Awesome#A curated list of modern Generative Artificial Intelligence projects and services

uv 是一个用Rust编写的Python包管理器，比pip快 10-100x倍

#计算机科学#Azure 机器学习Python SDK notebooks 示例