Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
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Updated
Nov 26, 2018
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
FSL-Mate: A collection of resources for few-shot learning (FSL).
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
OneShot Learning-based hotword detection.
Some State-of-the-Art few shot learning algorithms in tensorflow 2
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
Deep Learning - one shot learning for speaker recognition using Filter Banks
Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
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
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