Alternatives and similar repositories for multiband_vae

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

• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• Lifelong-ML / Mendez2020Compositional
  ☆14Updated 3 years ago
• ZixuanKe / CAT
  Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
  ☆21Updated 2 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• Johswald / learning_where_to_learn
  ☆38Updated 7 months ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• BurakGurbuz97 / NISPA
  Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning
  ☆21Updated 2 years ago
• yaoyao-liu / online-hyperparameter-optimization
  PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)
  ☆17Updated last year
• lywang3081 / AFEC
  AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)
  ☆27Updated last year
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• HJ-Yoo / BOIL
  ☆14Updated 4 years ago
• huaxiuyao / MLTI
  MLTI for ICLR 2022
  ☆30Updated 3 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• oleksost / LMC
  Codebase for the paper titled "Continual learning with local module selection"
  ☆25Updated 3 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆31Updated 2 years ago
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• k-gyuhak / CLOM
  ☆16Updated 2 years ago
• hastings24 / rethinking_er
  Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"
  ☆46Updated 2 years ago
• phquang / Contextual-Transformation-Network
  ☆22Updated last year
• huang50213 / AIM-Fewshot-Continual
  ☆29Updated 3 years ago
• lywang3081 / MRDC
  Memory Replay with Data Compression (ICLR 2022)
  ☆15Updated last year
• danruod / FS-DGPM
  Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".
  ☆16Updated 3 years ago
• INK-USC / GMED
  Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
  ☆17Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• PanZiqiAI / disentangled-information-bottleneck
  ☆32Updated 4 years ago
• MehdiAbbanaBennani / continual-learning-ogdplus
  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)
  ☆42Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 3 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 6 years ago
• huaxiuyao / MetaMix
  MetaMix for ICML 2021
  ☆27Updated 4 years ago