Alternatives and similar repositories for maml-reptile

Users that are interested in maml-reptile are comparing it to the libraries listed below

• JosephKJ / PyTorch-MAML-and-Reptile
  MAML and Reptile sine wave regression example in PyTorch
  ☆18Updated 5 years ago
• GauravIyer / MAML-Pytorch
  A Pytorch implementation of MAML
  ☆57Updated 2 years ago
• matwilso / maml_numpy
  Implementation of MAML in numpy, deriving gradients and implementing backprop manually
  ☆14Updated 6 years ago
• cnguyen10 / few_shot_meta_learning
  Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch
  ☆249Updated 3 years ago
• gabrielhuang / reptile-pytorch
  A PyTorch implementation of OpenAI's REPTILE algorithm
  ☆219Updated 5 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆182Updated 2 years ago
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆60Updated 6 years ago
• eambutu / snail-pytorch
  Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
  ☆148Updated 6 years ago
• vmikulik / maml-pytorch
  A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
  ☆42Updated 7 years ago
• jindongwang / maml
  Python implementation MAML (model-agnostic meta learning)
  ☆30Updated 4 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆98Updated 6 months ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆39Updated this week
• vuoristo / MMAML-Regression
  ☆22Updated 4 years ago
• hoyeoplee / pytorch-maml
  ☆17Updated 2 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆64Updated 5 years ago
• lmzintgraf / cavia
  Code for "Fast Context Adaptation via Meta-Learning"
  ☆144Updated 4 years ago
• JJASMINE22 / MAML_LSTM
  Regularized MAML for time-series data prediction
  ☆17Updated 3 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆76Updated 6 years ago
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆85Updated 3 years ago
• BayesWatch / deep-kernel-transfer
  Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
  ☆205Updated 3 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆15Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• mingzhang-yin / Meta-learning-without-memorization
  A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…
  ☆21Updated 2 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆44Updated 2 years ago
• dragen1860 / Reptile-Pytorch
  ☆154Updated 5 years ago
• anvinhnguyendinh / InferencePGMbyGNN
  A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
  ☆14Updated 6 years ago
• hereismari / tensorflow-maml
  TensorFlow 2.0 implementation of MAML.
  ☆83Updated 6 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆60Updated 2 years ago
• softsys4ai / FlexiBO
  FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
  ☆14Updated 2 years ago
• Luvata / CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
  My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
  ☆41Updated 2 years ago