There are 31 repositories under one-shot-learning topic.
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Implementation of Siamese Neural Networks for One-shot Image Recognition
Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch
Tools for generating mini-ImageNet dataset and processing batches
Siamese Mask R-CNN model for one-shot instance segmentation
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Some State-of-the-Art few shot learning algorithms in tensorflow 2
OneShot Learning-based hotword detection.
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
Deep Learning - one shot learning for speaker recognition using Filter Banks
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks
One-Shot Learning with Triplet CNNs in Pytorch
A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]
Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!
awesome few shot / meta learning papers
Few-shot image translation method working on unstructured environments. ECCV 2022
Cluttered Omniglot dataset and models
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
Identifying forged signatures using convolutional siamese networks implemented in Keras
One-shot Siamese Neural Network, using TensorFlow 2.0, based on the work presented by Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov. we used the “Labeled Faces in the Wild” dataset with over 5,700 different people. Some people have a single image, while others have dozens.
Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0
A Face Recognition Siamese Network implemented using Keras. Siamese Network is used for one shot learning which do not require extensive training samples for image recognition.
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
One-Shot Recognition of Manufacturing Defects in Steel Surfaces
Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.