Stars
A polyglot document intelligence framework with a Rust core. Extract text, metadata, and structured information from PDFs, Office documents, images, and 50+ formats. Available for Rust, Python, Rub…
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…
AI agents can now use real Android and iOS apps, just like a human.
Code for the book Enterprise RAG: Scaling Retrieval Augmented Generation
Open source alternative to NotebookLM, Perplexity, and Glean. Connects to search engines, Slack, Linear, Jira, ClickUp, Notion, YouTube, GitHub, Discord, and more. Join our Discord: https://discord…
A system for agentic LLM-powered data processing and ETL
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Simple, unified interface to multiple Generative AI providers
Curated list of data science interview questions and answers
Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other examples
Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Code for creating a synthetic NVC dataset | https://huggingface.co/datasets/thomasgauthier/observation_or_evaluation
llama3 implementation one matrix multiplication at a time
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
The definitive Web UI for local AI, with powerful features and easy setup.
Stable Diffusion web UI
21 Lessons, Get Started Building with Generative AI
Software design principles for machine learning applications
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Probabilistic time series modeling in Python
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…