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A GitHub repository compiling tools, ideas, prompt engineering resources, Colabs, models and helpers for prompt designers working with AI art and image synthesis. The list covers Dalle2, MidJourney, StableDiffusion and open source tools, and includes sections on commercial and free hosted tools, prompt engineering, post-processing and communities.
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) - Nostr will fail if it stays just another social media protocol. This repo lists ideas for non-social-media applications.
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DEAP is an evolutionary computation framework for Python aimed at rapid prototyping and testing of ideas. It provides genetic algorithms over representations such as lists, arrays, sets, dictionaries, trees and Numpy arrays, genetic programming with prefix trees, evolution strategies including CMA-ES, multi-objective optimisation, and co-evolution of multiple populations. It supports parallelisation via multiprocessing and SCOOP and works out of the box with Python 3 since version 0.8.
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) - A bare-bones desktop nostr client using electron-react-boilerplate. The goal is to be an easy template for people to experiment with different ideas on decentralized ratings, reputation, and web of trust
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Snorkel is a system for quickly generating training data with weak supervision, released under an Apache-2.0 license and written in Python. The project started at Stanford in 2015 to programmatically label, build, and manage training data. The team now focuses on Snorkel Flow, an end-to-end AI application development platform based on the core ideas behind Snorkel.