Stars
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
⚡️Wren AI is your GenBI Agent, that you can query any database with natural language → get accurate SQL(Text-to-SQL), charts(Text-to-Charts) & AI-generated insights in seconds.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A curated list of amazingly awesome Modal applications, demos, and shiny things. Inspired by awesome-php.
Just enough Kubernetes for you to fly
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Examples and tutorials to help developers build AI systems
Intelligent Document Processing with AWS AI Services and generative AI
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Composable building blocks to build Llama Apps
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
The Amazon S3 Connector for PyTorch delivers high throughput for PyTorch training jobs that access and store data in Amazon S3.
Scale complete ML development with Amazon SageMaker Studio
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
Applying Evaluation Driven Development (EDD) to aid in the design decision of RAG pipelines
AdalFlow: The library to build & auto-optimize LLM applications.
Data processing and instruction calling with ML, LLM and Vision LLM
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
A Python framework for multi-modal document understanding with Amazon Bedrock
This is a demo repository for parallel multi-index question answering using streamlit and llama index
LLM-powered document chat using Amazon Bedrock and AWS Serverless
Kohonen Self Organizing Maps algorithm implementation in python, with other machine learning algorithms for comparison (kmeans, knn, svm, etc)
Using Kohonen's algorithm to make a Self Organising Map using the EMNIST database on handwritten alphabets.