Showing 41-60 of 89 projects
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds using Python.
Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference
High-performance PyTorch implementation of the SSD (Single Shot MultiBox Detector) for object detection.
A curated list of resources for meta-learning, including papers, code, books, and more for developers working with AI tools.
Measuring Massive Multitask Language Understanding with GPT-3 and few-shot learning techniques.
A Python library for a one-shot face swap approach for image and video domains using deep learning.
An open-source alternative to CleanShot X for macOS, capturing and enhancing screenshots with professional quality.
JoJoGAN is a PyTorch-based library for one-shot face stylization, enabling developers to create anime-style portraits.
M2Det is a single-shot object detection model based on a multi-level feature pyramid network.
PyTorch implementation of SSD (Single Shot MultiBox Detector) object detection models with support for retraining on Open Images dataset.
A deep learning-based object detection library written in C++, with a focus on single-shot refinement for accurate object detection.
Omniglot dataset for one-shot learning experiments in MATLAB
Real-time and accurate open-vocabulary end-to-end object detection library for computer vision applications.
Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.
Standardized datasets for 2D and 3D biomedical image classification
A zero-shot image editing tool that allows users to transfer textures and styles from reference images.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.
A Shell script that can be used to take target's webcam shots through a link.
A collection of notebooks for learning various meta-learning techniques like MAML, Reptile, and One-Shot Learning.
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