timchen0618 / pytorch-leo

Related projects ⓘ

Alternatives and complementary repositories for pytorch-leo

• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆71Updated 2 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆52Updated 5 years ago
• ServiceNow / TADAM
  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
• jik0730 / MAML-in-pytorch
  Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400
  ☆59Updated 3 years ago
• ServiceNow / osaka
  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…
  ☆103Updated 2 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• baiksung / MeTAL
  Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
  ☆62Updated 2 years ago
• dragen1860 / Reptile-Pytorch
  ☆150Updated 4 years ago
• chrysts / dsn_fewshot
  ☆90Updated 2 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆39Updated 5 years ago
• yaoyao-liu / tiered-imagenet-tools
  Tools for generating tieredImageNet dataset and processing batches
  ☆76Updated 3 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 3 years ago
• jik0730 / Meta-SGD-pytorch
  Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835
  ☆89Updated 5 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆98Updated 4 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆62Updated 4 years ago
• cambridge-mlg / cnaps
  Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…
  ☆159Updated 3 years ago
• markdtw / meta-learning-lstm-pytorch
  pytorch implementation of Optimization as a Model for Few-shot Learning
  ☆176Updated last year
• goldblum / FeatureClustering
  ☆13Updated 4 years ago
• optimass / Maximally_Interfered_Retrieval
  Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
  ☆99Updated last year
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 4 years ago
• rahafaljundi / Gradient-based-Sample-Selection
  ☆71Updated last year
• jsikyoon / bmaml
  This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.
  ☆59Updated 5 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆95Updated last year
• montrealrobotics / La-MAML
  Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"
  ☆71Updated 3 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆44Updated last year
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆98Updated 4 years ago
• bl0 / negative-margin.few-shot
  PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”
  ☆148Updated 3 years 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
• TLESORT / Generative_Continual_Learning
  ☆53Updated 5 years ago
• JosephKJ / merlin
  (NeurIPS 2020) Meta-Consolidation for Continual Learning
  ☆36Updated 3 years ago