schatty / prototypical-networks-tf
Implementation of Prototypical Networks for Few-shot Learning in TensorFlow 2.0
☆53Updated last year
Alternatives and similar repositories for prototypical-networks-tf:
Users that are interested in prototypical-networks-tf are comparing it to the libraries listed below
- Implementation of Matching Networks for One Shot Learning in TensorFlow 2.0☆29Updated 6 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆316Updated 5 years ago
- Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆134Updated 7 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆422Updated 4 years ago
- ☆69Updated 5 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆246Updated 3 years ago
- TensorFlow 2.0 implementation of MAML.☆83Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆180Updated 2 years ago
- ☆370Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆560Updated 5 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆218Updated 5 years ago
- Meta learning framework with Tensorflow 2.0☆118Updated 2 years ago
- SSL-FEW-SHOT☆172Updated 5 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆535Updated 9 months ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆106Updated 2 years ago
- An implementation of "Prototypical Networks for Few-shot Learning" on a notebook in Pytorch☆57Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆306Updated 5 years ago
- Tools for generating tieredImageNet dataset and processing batches☆76Updated 4 years ago
- Laplacian Regularized Few Shot Learning☆82Updated 2 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- ☆521Updated 3 years ago
- A novel method for few shot learning☆52Updated 5 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆210Updated 2 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆341Updated 5 years ago
- Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆289Updated last year
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆635Updated 3 years ago
- Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning☆249Updated 7 years ago