Improved StyleGAN Embedding: Where are the Good Latents?
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Updated
Apr 2, 2022 - Python
Improved StyleGAN Embedding: Where are the Good Latents?
Simple script to compute CLIP-based scores given a DALL-e trained model.
Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.
Using fourier feature mapping Strengthen GON (《Gradient Origin Networks》)'s performance
A dynamic method for converting tabular data to images to apply CNNs on tabular data.
This project exhibits an aesthetically pleasing design with vibrant colors and a responsive layout. The use of 'Hanken Grotesk' Google Font enhances readability, contributing to an engaging and polished user experience.
Using Graph Attention NN for image embedding and classification
A method for steganography using a modified cycle GANs that's trained on texture dataset and analysed by steganalysis tool.
Semantic image clustering using CLIP and GPT-powered metadata in a Next.js + MongoDB stack
A multimodal similarity search tool for textile patterns. Embeds 10,000+ objects from The Met and Cooper Hewitt using CLIP to capture image and text features. Stores results in ChromaDB for fast semantic search. Built to demonstrate end-to-end multimodal ML, data, and retrieval pipeline skills.
Check out this image similarty model live @ https://dinomatch.drismir.ca/
It contains a few useful notebooks from "Shopee - Price Match Guarantee" competition hosted on kaggle. It covers topics ranging from EDA, Efficientnet for image embeddings, ArcFace loss for metric learning, LR scheduler, etc.
🔍 A CLIP-powered image similarity finder built with Streamlit — upload a query image and find the most visually similar matches from a gallery using deep visual embeddings.
This is an implementation of Least Significant Bit Embedding.
Convert an image to Base64 data URL in your browser
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