Alternatives and similar repositories for dm_nevis

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

• gregorbachmann / scaling_mlps
  ☆52Updated last year
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• andyzoujm / pixmix
  PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)
  ☆110Updated 3 years ago
• nik-dim / sequel
  A Continual Learning Library in PyTorch and JAX
  ☆13Updated 2 years ago
• google-research / growneuron
  ☆56Updated last year
• wilson1yan / cs294-158-ssl
  ☆16Updated 3 years ago
• singhgautam / slate
  This is the official source code for SLATE. We provide the code for the model, the training code, and a dataset loader for the 3D Shapes …
  ☆88Updated 2 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆33Updated 4 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated last year
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 3 years ago
• oleksost / latent_CL
  Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".
  ☆30Updated 2 years ago
• MadryLab / EditingClassifiers
  ☆96Updated 3 years ago
• lucidrains / discrete-key-value-bottleneck-pytorch
  Implementation of Discrete Key / Value Bottleneck, in Pytorch
  ☆88Updated 2 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆32Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• mlfoundations / patching
  Patching open-vocabulary models by interpolating weights
  ☆91Updated 2 years ago
• facebookresearch / DejaVu
  Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
  ☆36Updated 2 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆66Updated 5 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• GuillaumeLeclerc / fastargs
  Python library for argument and configuration management
  ☆56Updated 2 years ago
• lebrice / Sequoia
  The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
  ☆196Updated 2 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated 2 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆88Updated 2 years ago
• SaynaEbrahimi / Remembering-for-the-Right-Reasons
  Official Implementation of Remembering for the Right Reasons (ICLR 2021)
  ☆30Updated 4 years ago
• google-research / understanding-transfer-learning
  ☆45Updated 5 years ago
• andrearosasco / DistilledReplay
  Code for the pubblication "Distilled Replay: Overcoming Forgetting through Synthetic Examples"
  ☆12Updated 4 years ago
• ContinualAI / avalanche-rl
  Avalanche fork adding RL support
  ☆77Updated 2 years ago
• facebookresearch / CTrLBenchmark
  Benchmark for Lifelong learning research
  ☆118Updated 4 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆52Updated last year