Alternatives and similar repositories for DAPC:

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

• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 4 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆40Updated 4 years ago
• KyleGoyette / nnRNN
  ☆24Updated 4 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆22Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆22Updated last year
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆22Updated 5 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• Manuscrit / Area-Under-the-Margin-Ranking
  Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
  ☆21Updated 4 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆54Updated last year
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• hschoi1 / rich_latent
  rich posterior approximations and anomaly detection
  ☆20Updated 5 years ago
• guyAmit / GLOD
  Github for the conference paper GLOD-Gaussian Likelihood OOD detector
  ☆16Updated 2 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆18Updated 5 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• jrfiedler / xynn
  ☆16Updated 2 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 4 years ago
• kundajelab / labelshiftexperiments
  Label shift experiments
  ☆15Updated 4 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆32Updated last year
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• pkuzengqi / Skyformer
  Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)
  ☆60Updated 2 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• schwartz-lab-NLP / papa
  Code for the PAPA paper
  ☆27Updated 2 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 2 years ago
• yaohungt / TransformerDissection
  [EMNLP'19] Summary for Transformer Understanding
  ☆53Updated 5 years ago