This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
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Updated
Mar 5, 2024 - Python
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 Prototypical Networks for Few-shot Learning in TensorFlow 2.0
Image super resolution using with Deep Convolutional Neural Networks
Implementation of Few-shot Binary Image Classification using Contrastive Learning-based Approach in PyTorch
Secure ML (Trash Bucket Problem, One-shot Learning, and Subpopulation Attack): Repo for ISM at Ashoka
Reimplementation of "VAE with a VampPrior" by Jakub M. Tomczak et al., as part of the DD2434 Machine Learning, Advanced Course at KTH
Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.
Memory Augmented Neural Networks, a Black-Box Meta-Learner that uses an LSTMs for few-shot classification
a deep dive into one-shot learning with omniglot and siamese networks
一些数据集处理相关的 API
Example of one shot learning and few shot learning with omniglot dataset.
Implementation of Variational Memory Addressing for generative few-shot learning in PyTorch
A Rust implementation of Siamese Neural Networks for One-shot Image Recognition for benchmarking performance and results.
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.
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
The collection of raw and generated (with transformations) images from the original Omniglot Dataset.
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
Probabilistic programming stuff 2
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