TheissHe

TheissHe's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook104k7378.3k16.8k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX54.3k6012085.3k

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python36.1k48019.7k6.1k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.8k952243.7k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML9.2k225162k

• rasbt/pattern_classification

  A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

  Language:Jupyter Notebook4.2k38631.3k

• gardener/gardener

  Homogeneous Kubernetes clusters at scale on any infrastructure using hosted control planes.

  Language:Go3.1k722k502

• justmarkham/scikit-learn-tips

  :robot::zap: 50 scikit-learn tips

  Language:Jupyter Notebook1.7k1183435

• enlite-ai/maze

  Maze Applied Reinforcement Learning Framework

  Language:Python2687311

• aws-samples/amazon-sagemaker-script-mode

  Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

  Language:Jupyter Notebook1712517100

• aws-samples/amazon-sagemaker-build-train-deploy

  Scale complete ML development with Amazon SageMaker Studio

  Language:Jupyter Notebook1568553

• sofianhamiti/end-to-end-transformers

  end-to-end Transformers workflow with Amazon SageMaker

  Language:Jupyter Notebook134110