farbodtm / reptile-pytorch
PyTorch implementation of OpenAI's REPTILE Algorithm
☆26Updated 6 years ago
Alternatives and similar repositories for reptile-pytorch:
Users that are interested in reptile-pytorch are comparing it to the libraries listed below
- Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835☆89Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆78Updated 2 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 5 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆217Updated 5 years ago
- infinite mixture prototypes for few-shot learning☆51Updated 2 years ago
- ☆154Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 4 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
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization☆49Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- pytorch implementation of Optimization as a Model for Few-shot Learning☆181Updated 2 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆53Updated 5 years ago
- ☆53Updated 5 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 6 years ago
- ☆14Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning☆56Updated 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 …☆106Updated 2 years ago
- ARML for ICLR 2020☆42Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Regularizing Meta-Learning via Gradient Dropout☆52Updated 4 years ago
- MAML implementation (tensorflow)☆14Updated 5 years ago