Runist / torch_maml
Very simple pytorch maml implement
☆106Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for torch_maml
- Reproduce MAML in Pytorch with omniglot dataset.☆100Updated 4 years ago
- This is a very simple implementation for the NIPS 2017 paper Prototypical Networks for Few-shot Learning.☆17Updated 3 years ago
- ☆13Updated 2 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆135Updated 6 months ago
- The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).☆172Updated 8 months ago
- Code for recent domain adaption implemented by pytorch.☆31Updated 4 years ago
- Awesome Few-Shot Class-Incremental Learning☆228Updated 10 months ago
- Open Set Recognition☆148Updated 3 years ago
- Few-shot Classification with LS-SVM Base Learner and Transductive Modules☆11Updated 3 years ago
- Bootstrap your own latent A new approach to self-supervised Learning.Thesis retrieval.对BYOL自监督的论文的简单实现☆13Updated 3 years ago
- ☆34Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆216Updated 2 months ago
- PyTorch implementation for "Classification-Reconstruction Learning for Open-Set Recognition" CVPR 2019.☆48Updated 2 years ago
- Code for Transfer Learning book--《迁移学习导论》配套代码☆262Updated last year
- ☆34Updated last year
- Using keras and tf build MAML☆53Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆117Updated 4 years ago
- [CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition☆36Updated last year
- Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.☆386Updated 2 years ago
- Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"☆155Updated 3 years ago
- ☆68Updated 2 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,320Updated 5 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆616Updated 3 years ago
- [IJCAI 2021 & AIJ 2023] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation☆61Updated last year
- ☆96Updated 2 years ago
- ☆55Updated 2 years ago
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆118Updated last year
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆62Updated 2 years ago
- A collection of deep semi-supervised learning resources☆11Updated 2 years ago
- ☆19Updated 3 years ago