A Python library to remove unwanted pseudo-text from images generated by your favorite generative AI models (Stable Diffusion, Midjourney, DALL·E).
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Authors: Cal.com core team,, Ted Spare.
Deep learning in Rust, with shape checked tensors and neural networks.
. Practical AI engineering and generative AI explained simply: RAG, agents, and LLM application patterns for builders.
DiffusionBee creates or edits images with generative AI and text-based controls.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
Direct provides conversational AI for questions, tasks, and general assistance.
Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.
A deep learning-based translation library between 50 languages, built with transformers.
DLib has C++ and Python interfaces for face detection and training general object detectors.
Creates or edits images with generative models and visual controls.
DocketAI — built on Replit. Update this description to reflect the app.
Documentation for Docs, covering setup, features, and practical usage.
DocsGPT supports AI-assisted research, knowledge retrieval, summarization, or source analysis.
Free AI domain generator with availability check and price comparison.
Shared knowledge makes agents faster and more reliable.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Creates or edits images with generative models and visual controls.
DreamStudio is an easy-to-use interface for creating images using the Stable Diffusion image generation model.
DrivenData hosts data science competitions to build a better world, bringing predictive models to organizations tackling the world.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Python library for decision tree visualization and model interpretation.