shirleyzhu233 / PyTorch-MAMLLinks
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
☆245Updated last year
Alternatives and similar repositories for PyTorch-MAML
Users that are interested in PyTorch-MAML are comparing it to the libraries listed below
Sorting:
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆238Updated 5 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…☆820Updated last year
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆85Updated 3 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆250Updated 3 years ago
- A classified list of meta learning papers based on realm.☆362Updated 3 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 7 years ago
- An implementation of EWC with PyTorch☆255Updated 6 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆219Updated 5 years ago
- ☆155Updated 5 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 5 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆182Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆167Updated 3 years ago
- Reproduction of the IMAML paper☆27Updated 4 years ago
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆91Updated 6 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆284Updated last year
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆564Updated 7 years ago
- Code for "Fast Context Adaptation via Meta-Learning"☆144Updated 4 years ago
- Reproduce MAML in Pytorch with omniglot dataset.☆107Updated 5 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆374Updated 4 years ago
- Pytorch implementation of Deep Variational Information Bottleneck☆203Updated 7 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆376Updated last year
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆135Updated last year
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆204Updated 4 years ago
- Mutual Information Neural Estimation in Pytorch☆339Updated last year
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆44Updated last year
- Overcoming catastrophic forgetting with hard attention to the task☆218Updated 6 years ago
- PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)☆269Updated 4 years ago
- A Pytorch implementation of MAML☆58Updated 2 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆523Updated 4 years ago
- Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)☆65Updated 3 years ago