cnguyen10 / few_shot_meta_learningLinks
Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
☆247Updated 3 years ago
Alternatives and similar repositories for few_shot_meta_learning
Users that are interested in few_shot_meta_learning are comparing it to the libraries listed below
Sorting:
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆235Updated 5 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆241Updated 10 months ago
- A classified list of meta learning papers based on realm.☆359Updated 2 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆809Updated last year
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆205Updated 3 years ago
- ☆154Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)☆764Updated last month
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆427Updated 4 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- ☆370Updated 4 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 3 years ago
- ☆69Updated 5 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 6 years ago
- Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021☆645Updated 3 years ago
- Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started…☆210Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆230Updated 4 years ago
- Reproduction of the IMAML paper☆26Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 6 years ago
- Implementation of the variational continual learning method☆191Updated 6 years ago
- My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning☆41Updated 2 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆48Updated 5 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
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- PyTorch code to run synthetic experiments.☆423Updated 3 years ago
- A Pytorch implementation of MAML☆53Updated 2 years ago