Code for the Book Causal Inference in Python

Simple integration between FastAPI and cloud authentication services (AWS Cognito, Auth0, Firebase Authentication).

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cuML - RAPIDS Machine Learning Library

Semantic Scene Change Detection Network (CSCDNet + SSCDNet)

a list of disposable email domains

Databricks framework to validate Data Quality of pySpark DataFrames

Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.

Example code for running Spark and Hive jobs on EMR Serverless.

Truly independent web browser

Agent Framework / shim to use Pydantic with LLMs

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Python Restful API using Flask, JWT and SQLAlchemy as well as the deployment with gunicorn and Docker.

The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected

An open source Flask extension that provides JWT support (with batteries included)!

Official AWS architecture icons in SVG format

Database diagrams editor that allows you to visualize and design your DB with a single query.

Positron, a next-generation data science IDE

The Go kernel for Jupyter notebooks and nteract.

LaTeX to image converter with web UI using Node.js / Docker

scikit-learn: machine learning in Python

Start building and deploying Python packages and Docker images for MLOps tasks.

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

Data and Program files for Causal Inference: The Mixtape

Starter files, final projects, and FAQ for my Complete JavaScript course

Linux setup to work with Check Point Mobile Access VPN.

Bring portraits to life!

An easy way to extract information from documents

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.