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Repository for few-shot learning machine learning projects
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Implementation of Siamese Neural Networks for One-shot Image Recognition
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Solutions to tasks in over 700 programming languages
Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Multi-task learning for image classification implemented in PyTorch.
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
Cluttered Omniglot dataset and models
Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0
One Shot Learning Implementation
a deep recurrent model for exchangeable data
Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0
Example of one shot learning and few shot learning with omniglot dataset.
This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.
Implementation of Siamese Networks using PyTorch
A ready to go implementation of the "Siamese Neural Networks for One-shot Image Recognition" paper in PyTorch on Google Colab with training and testing on the Omniglot/custom datasets.
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Fine Tuning for Image Recognition with a model trained with Reptile
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
Memory Augmented Neural Networks, a Black-Box Meta-Learner that uses an LSTMs for few-shot classification
Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka
Teaching machines in comparably few shots.
Reimplementation of "VAE with a VampPrior" by Jakub M. Tomczak et al., as part of the DD2434 Machine Learning, Advanced Course at KTH
a deep dive into one-shot learning with omniglot and siamese networks
Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).
The collection of raw and generated (with transformations) images from the original Omniglot Dataset.
A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.
Image super resolution using with Deep Convolutional Neural Networks