Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Instruct-tune LLaMA on consumer hardware

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

AirLLM 70B inference with single 4GB GPU

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

Simplified implementations of deep learning related works

Deep Learning tutorials in jupyter notebooks.

Build an email assistant with human-in-the-loop and memory

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Engine

Examples and demos for the pythonocc CAD package

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Self improving agentic rag pipeline

Domain Specific Languages in Python

Sign AJAX/CORS requests on AWS Lambda for direct browser to S3 uploads