Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Repository for few-shot learning machine learning projects
#自然语言处理#Efficient few-shot learning with Sentence Transformers
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Collection for Few-shot Learning
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Few-shot Learning of GPT-3
Some State-of-the-Art few shot learning algorithms in tensorflow 2
Few shot learning
Awesome Few-Shot Class-Incremental Learning
Meta Learning for Semi-Supervised Few-Shot Classification
A curated list of resources about few-shot and one-shot learning
Few Shot Learning by Siamese Networks, using Keras.
[ICLR 2021] Concept Learners for Few-Shot Learning
(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
Dynamic Relavance Learning for Few Shot Object Detection
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
翻译 - LibFewShot：用于少量学习的综合库。
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)