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amazon-sagemaker-examples

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

amazon-sagemaker-object-tracking-and-pose-estimation-with-yolo-v8

clip-interrogator-on-amazon-sagemaker

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

eba-aws-natwest

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

generative-ai-workshop-build-a-multifunctional-chatbot-on-sagemaker

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

llama2-code-interpreter

Make Llama2 use Code Execution, Debug, Save Code, Reuse it, Access to Internet

open-interpreter

OpenAI's Code Interpreter in your terminal, running locally

pylgbst

Python library for LEGO® PoweredUp devices

reflexion

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

sagemaker-fsx-benchmark

sagemaker-hosting

sagemaker-python-sdk

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

sagemaker-run-notebook

Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

sagemaker-studio-auto-shutdown-extension

sagemaker-studio-docker-cli-extension

SageMaker Studio Docker CLI Extension

sagemaker-studio-docker-ui-extension

Sagemaker Studio Docker UI Extension

spherov2.py

Unofficial Python API for all Sphero toys

voyager

An Open-Ended Embodied Agent with Large Language Models

yarn

YaRN: Efficient Context Window Extension of Large Language Models