Probabilistic programming stuff 2
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Updated
Jul 30, 2020 - Python
Probabilistic programming stuff 2
Teaching machines in comparably few shots.
The collection of raw and generated (with transformations) images from the original Omniglot Dataset.
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.
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
Image super resolution using with Deep Convolutional Neural Networks
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
Very simple MAML-like metalearning baseline
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
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.
Memory Augmented Neural Networks, a Black-Box Meta-Learner that uses an LSTMs for few-shot classification
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka
Fine Tuning for Image Recognition with a model trained with Reptile
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0
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