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 high-performance VAE for real-time embedding of Whole Slide Imaging tiles.
A dynamic method for converting tabular data to images to apply CNNs on tabular data.
Local browser tool for converting official OpenAI data export ZIPs into clean Markdown and PDF files, with bulk export and available assets. No uploads, backend or telemetry.
Using Graph Attention NN for image embedding and classification
Image vector similarity search engine using QDrant
PixelFerrite is a C++20 security simulation framework with a Metasploit-style console for module workflows, image-based artifact generation, and workspace-isolated runtime for authorized research and validation.
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.
A privacy-first, client-side image hosting solution that generates base64 data URLs for direct image embedding without requiring any server infrastructure. All image processing occurs entirely within your browser, ensuring your data never leaves your device.
🔍 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.
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.
MediaPipe face landmarker, detector, and recognition experiments.
Simple video frame analyzer using Google's MediaPipe Image Embedding
Direct image embeddings aligned to BGE for multimodal RAG
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