☆524Jul 5, 2021Updated 4 years ago
Alternatives and similar repositories for FewShotWithoutForgetting
Users that are interested in FewShotWithoutForgetting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- source code to ICLR'19, 'A Closer Look at Few-shot Classification'☆1,159Dec 14, 2021Updated 4 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆543Jul 25, 2024Updated last year
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆435Jul 31, 2020Updated 5 years ago
- Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features☆310Aug 30, 2021Updated 4 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆571Jun 26, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆656Oct 10, 2021Updated 4 years ago
- PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)☆1,075Oct 22, 2019Updated 6 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆159Jul 29, 2019Updated 6 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Jun 24, 2018Updated 8 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆123Mar 19, 2020Updated 6 years ago
- ☆577Mar 1, 2023Updated 3 years ago
- Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"☆265Sep 22, 2017Updated 8 years ago
- pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version☆42Dec 2, 2018Updated 7 years ago
- Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch☆1,076Apr 5, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆873Jul 16, 2022Updated 3 years ago
- Recent few-shot meta-learning papers☆85Jun 15, 2018Updated 8 years ago
- Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"☆1,236Jan 28, 2021Updated 5 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Jun 20, 2022Updated 4 years ago
- ☆375Jan 22, 2021Updated 5 years ago
- Code for 'Low-Shot Learning with Imprinted Weights'☆71Dec 25, 2018Updated 7 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆785Jun 2, 2025Updated last year
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆391Nov 22, 2022Updated 3 years ago
- Collection for Few-shot Learning☆995May 31, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆214Oct 3, 2023Updated 2 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆201Jun 20, 2023Updated 3 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆238Nov 6, 2020Updated 5 years ago
- A dataset of datasets for learning to learn from few examples☆804May 24, 2024Updated 2 years ago
- ☆134Mar 4, 2021Updated 5 years ago
- Repository for few-shot learning machine learning projects☆1,283Nov 25, 2019Updated 6 years ago
- Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆243May 4, 2019Updated 7 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆137Dec 19, 2019Updated 6 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Feb 20, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Jul 24, 2020Updated 5 years ago
- A re-implementation of "Prototypical Networks for Few-shot Learning"☆329Mar 26, 2020Updated 6 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,059Jul 17, 2023Updated 2 years ago
- This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and Min…☆349Mar 5, 2024Updated 2 years ago
- ☆116Jan 19, 2021Updated 5 years ago
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,656Nov 26, 2018Updated 7 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆312Apr 30, 2019Updated 7 years ago