mandyCheen's Stars
Asichurter/APISeqFewShot
FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.
k-r-allen/imp
infinite mixture prototypes for few-shot learning
wenjiaXu/APN-ZSL
This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".
jakesnell/prototypical-networks
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
linzhiqiu/cross_modal_adaptation
Cross-modal few-shot adaptation with CLIP
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Duan-JM/awesome-papers-fewshot
Collection for Few-shot Learning
salesforce/PCL
PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Asichurter/MalFusionFSL
Few-Shot malware classification using fused features of static analysis and dynamic analysis (基于静态+动态分析的混合特征的小样本恶意代码分类框架)