Sam Edwards's repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 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.
FastChat
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.
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-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-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