#大语言模型#A high-throughput and memory-efficient inference and serving engine for LLMs
#计算机科学#Apache Airflow 是一个workflow工作流调度、编排、监控平台
#自然语言处理#学习如何设计、开发、部署、和迭代生产级机器学习应用
#数据仓库#Label Studio is a multi-type data labeling and annotation tool with standardized output format
#计算机科学#Jina 是一个基于深度学习的搜索框架,支持各种类型如图片,视频,长文本,PDF等。
#Awesome#A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Turns Data and AI algorithms into production-ready web applications in no time.
#计算机科学#An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
#大语言模型#Machine Learning Engineering Open Book
#搜索#Weaviate 是一个开源矢量数据库,它同时存储对象和矢量,允许将矢量搜索与结构化过滤与云原生数据库的容错和可扩展性相结合,所有这些都可以通过 GraphQL、REST 和各种语言客户端访问。
An orchestration platform for the development, production, and observation of data assets.
#计算机科学#A curated list of references for MLOps
#计算机科学#Free MLOps course from DataTalks.Club
#大语言模型#Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
#计算机科学#Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Always know what to expect from your data.
#计算机科学#Kedro 是一个用于构建可重现、可维护和模块化的数据科学代码的Python框架。它借鉴了软件工程的理念并将其应用于机器学习
#计算机科学#The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.