Showing 1-15 of 15 projects
A flexible, modular PyTorch library for deep metric learning and embeddings, useful for vibe coders building AI-powered apps.
A self-supervised learning framework for computer vision tasks with a focus on contrastive learning.
A Python library for self-supervised learning on images, with a focus on computer vision and AI-powered tooling.
A video foundation model and dataset for multimodal understanding and video understanding tasks.
A powerful vision-language pre-training method for tasks like image-text retrieval and captioning.
A library of self-supervised methods for visual representation learning powered by PyTorch Lightning.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
This repository provides an official implementation of a CVPR 2023 paper on handwriting generation using disentangled AI models.
An awesome list of resources for research on CLIP, a contrastive language-image pre-training model.
Multimodal AI toolkit for fast content understanding and generation across text, images, and video
Official implementation of CEBRA, a tool for joint behavioral and neural analysis using learnable latent embeddings.
A research project focused on open-world object detection using continual and contrastive learning techniques.
A Python package that makes similarity learning quick and easy using TensorFlow.
A contrastive learning-based semi-supervised medical image segmentation network for surgical tools and video analysis.
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