Alternatives and similar repositories for MLTI

Users that are interested in MLTI are comparing it to the libraries listed below

• huaxiuyao / ATS
  ATS for NeurIPS 2021
  ☆23Updated 4 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 4 years ago
• ynysjtu / ood_bench
  ☆49Updated 3 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• huaxiuyao / GFL
  GFL for AAAI 2020
  ☆31Updated 4 years ago
• Luoyadan / BGNN-AAAI
  official PyTorch implementation of paper "Continual Meta-Learning with Bayesian Graph Neural Networks" (AAAI2020)
  ☆63Updated 5 years ago
• Johswald / learning_where_to_learn
  ☆39Updated last year
• siavash-khodadadeh / UMTRA-Release
  Unsupervised Meta Learning for Image Classification (UMTRA) algorithm
  ☆21Updated 3 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆136Updated 5 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆209Updated 7 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆68Updated 5 years ago
• tianyizhou / DIHCL
  Curriculum Learning by Dynamic Instance Hardness (NeurIPS 2020)
  ☆28Updated 4 years ago
• timchen0618 / pytorch-leo
  Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization
  ☆49Updated 5 years ago
• goldblum / FeatureClustering
  ☆13Updated 5 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• Han-Jia / UNICORN-MAML
  PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
  ☆44Updated last year
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 3 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• Wang-ML-Lab / GRDA
  [ICLR 2022] Graph-Relational Domain Adaptation
  ☆45Updated last year
• baiksung / ALFA
  Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
  ☆88Updated 3 years ago
• alinlab / LfF
  Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
  ☆94Updated 5 years ago
• HJ-Yoo / BOIL
  ☆15Updated 5 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆45Updated 2 years ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆39Updated 5 years ago
• moukamisama / F2M
  ☆35Updated 4 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆62Updated 4 years ago
• liyiying / Feature_Critic
  Feature-Critic Networks for Heterogeneous Domain Generalisation
  ☆55Updated 6 years ago
• huaxiuyao / ARML
  ARML for ICLR 2020
  ☆42Updated 5 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆44Updated 3 years ago