thejustin

valkey

A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, since it's a twist on the key-value datastore.

Scrapegraph-ai

Python scraper based on AI

SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

awesome-prompts

Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

anthropic-cookbook

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

datatrove

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

openllmetry

Open-source observability for your LLM application, based on OpenTelemetry

python-mammoth

Convert Word documents (.docx files) to HTML

bedrock-claude-chat

AWS-native chatbot using Bedrock + Claude (+Mistral)

ai-diagram-generator

A cool AI Diagram generator from a given topic, that streams the partial diagrams from the incomplete JSONs during generation. Built using LlamaIndex, Vercel AI SDK.

foundation-model-benchmarking-tool

Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.

spark-redshift

Performant Redshift data source for Apache Spark

prompt-engineering-with-anthropic-claude-v-3

langchain-aws

Build LangChain Applications on AWS

text-to-sql-bedrock-workshop

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

aws-advanced-python-wrapper

The AWS Advanced Python Driver is complementary to and extends the functionality of an existing Python database driver to help an application take advantage of the features of clustered databases such as Amazon Aurora.

pace-genai-demos

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

mlops-multi-account-terraform

Secure and scalable MLOps platform on AWS using Terraform.

mistral-on-aws

Mistral on AWS examples for Bedrock & SageMaker

enhanced-document-understanding-on-aws

Enhanced Document Understanding on AWS delivers an easy-to-use web application that ingests and analyzes documents, extracts content, identifies and redacts sensitive customer information, and creates search indexes from the analyzed data.

build-an-agentic-llm-assistant

Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.

bedrock-claude-chatbot

genai-llm-application-monitoring-on-aws

video-understanding-solution

generative-ai-on-aws-architecture-patterns

mlspace

rag-with-amazon-bedrock-and-documentdb

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

secure-messenger-genai-chatbot

A demonstration for the integration of the Wickr secure messaging client with the backend of the AWS GenAI LLM Chatbot open source sample project..

CMS-Bedrock-workshop