lead-scoring-demo

Open source platform for the machine learning lifecycle

Example ? Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ? Amazon SageMaker.

Aim ? — An easy-to-use & supercharged open-source experiment tracker.

Probabilistic time series modeling in Python

Koalas: pandas API on Apache Spark

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

A library for training and deploying machine learning models on Amazon SageMaker

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.