FSL-Mate: A collection of resources for few-shot learning (FSL).
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Updated
Jun 18, 2024 - Python
FSL-Mate: A collection of resources for few-shot learning (FSL).
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
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
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)
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]
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
Few-shot image translation method working on unstructured environments. ECCV 2022
Cluttered Omniglot dataset and models
Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems
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