Popular GitHub Repositories for Tarot Cards

Read Pilot analyzes online articles and generate Q&A cards for you. Powered by OpenAI & Next.js.

A toolkit that streamlines and automates the generation of model cards

:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

Example code and documentation on how to get Stable Diffusion running with ONNX FP16 models on DirectML. Can run accelerated on all DirectML supported cards including AMD and Intel.

Farm trading cards, manage achievements, and boost playtime effortlessly with Steam Game Idler

Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.

A PHP app that generates Pokemon cards by using GPT and Stable Diffusion.

Recognition of Magic cards on images. Detection with OCR.

Discord bot that uses KoboldAI. Supports tavern cards and json files.

An experiment in creating generative tarot cards.

Connect all CCTV cameras to this system to track someone's live location in a premise using facial recognition. It can be also used to maintain records of people entering a premise using their face instead of bio-metrics/cards/manual Entry

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

Reads a Magic: The Gathering card in front of a webcam and identifies it in an existing database of cards of a user-specified set.

Prompt Pulse is a free Microsoft Teams Power App enabling users to schedule and share Microsoft 365 Copilot prompts via Adaptive Cards to Teams, Group Chats and Viva Engage communities. It uses SharePoint as a data source. Prompt Pulse integrates with Prompt Buddy.

A simple PyQt5 UI for editing TavernAI character cards

Use GeminiAPI to read the tarot cards

A set of Dockerfiles for images that support Standard Diffusion on AMD 7900XTX Cards (gfx1100)

Tensorithm AI Tarot random card selector

A flash cards web application using React, SWR and Google's Gemini AI.

This repository is dedicated to solving the test e-commerce task for the educational shift on machine learning in Sirius 2024. The main task was to implement a system for processing product cards from marketplaces.