Showing 81-89 of 89 projects
PyTorch code for a CVPR 2018 paper on few-shot learning, a technique for training ML models with limited data.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
A curated collection of papers on generative information extraction using large language models.
A zero-shot multi-speaker text-to-speech (TTS) and voice conversion library for developers.
A Python library that extends the Segment Anything Model (SAM) to enable zero-shot video segmentation with point-based tracking.
This is a migrated project for capturing screen shots on Android devices, not directly related to vibe coders.
Automatically save screenshots when Capybara tests fail, helpful for debugging web applications.
An infrared object detection dataset and benchmark for few-shot learning.
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