Probabilistic programming stuff 2

The collection of raw and generated (with transformations) images from the original Omniglot Dataset.

Image super resolution using with Deep Convolutional Neural Networks

Few-shot Learning with Reptile

This is pedagogical implementation of MAML Algorithm.

Implementation of "Siamese neural networks for one-shot image recognition" via Keras 2.3.1 and TensorFlow backend.

Performing one-shot learning using a triplet network with different triplet selection methods (random and hard).

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

A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.

Very simple MAML-like metalearning baseline

Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka

Teaching machines in comparably few shots.

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

Implementation of "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.

Implementation of Variational Memory Addressing for generative few-shot learning in 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.