greentfrapp / maml-reptile

Related projects ⓘ

Alternatives and complementary repositories for maml-reptile

• JosephKJ / PyTorch-MAML-and-Reptile
  MAML and Reptile sine wave regression example in PyTorch
  ☆18Updated 4 years ago
• GauravIyer / MAML-Pytorch
  A Pytorch implementation of MAML
  ☆48Updated last year
• hereismari / tensorflow-maml
  TensorFlow 2.0 implementation of MAML.
  ☆84Updated 5 years ago
• takeshi-teshima / few-shot-domain-adaptation-by-causal-mechanism-transfer
  Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)
  ☆40Updated last year
• datagangchen / TLNN
  Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network
  ☆12Updated 3 years ago
• dualslash / reptile-torch
  PyTorch Implementation of Reptile
  ☆18Updated 3 years ago
• vuoristo / MMAML-Regression
  ☆20Updated 3 years ago
• matwilso / maml_numpy
  Implementation of MAML in numpy, deriving gradients and implementing backprop manually
  ☆14Updated 6 years ago
• haebeom-lee / maml
  MAML implementation (tensorflow)
  ☆14Updated 5 years ago
• JJASMINE22 / MAML_LSTM
  Regularized MAML for time-series data prediction
  ☆14Updated 2 years ago
• vmikulik / maml-pytorch
  A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.
  ☆42Updated 6 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆61Updated 4 years ago
• TianyuanYang / MAML-for-Mechanical-Fault-Diagnosis
  Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)
  ☆26Updated last year
• tmdt-buw / continual-learning-mas-cloning-injection-molding
  Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Awa…
  ☆14Updated 3 years ago
• floft / codats
  Source code for "Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data" (KDD 2020)
  ☆52Updated 4 years ago
• opprud / bearing_dataset
  ☆22Updated last year
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆59Updated 5 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 last year
• SalieriLu / BearingFaultDiagnostics
  ☆13Updated 5 months ago
• yangsenius / learning-to-learn-by-pytorch
  "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.
  ☆60Updated 5 years ago
• SCUT-WUSIE-ICLab / FedMeta-FFD
  This is the implementation of Federated Meta-Learning for Few shot Fault Diagnosis (FedMeta-FFD).
  ☆19Updated 10 months ago
• laiadc / PFM_Bearing_Fault_Detection
  ☆14Updated 4 years ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆76Updated 3 years ago
• Xiao-dong-Wang / Transfer-GP
  An adaptive transfer learning algorithm based on Gaussian Process
  ☆11Updated 3 years ago
• VNemani14 / UQ_ML_Tutorial
  Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …
  ☆24Updated last year
• boschresearch / what-matters-for-meta-learning
  [CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?
  ☆21Updated 2 years ago
• cure-lab / deep-active-learning
  An implementation of the state-of-the-art Deep Active Learning algorithms
  ☆100Updated last year
• anvinhnguyendinh / InferencePGMbyGNN
  A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
  ☆14Updated 5 years ago
• mutual-ai / Information-Bottleneck-for-Deep-Learning
  Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.
  ☆12Updated 7 years ago