Alternatives and similar repositories for optimal-active-learning:

Users that are interested in optimal-active-learning are comparing it to the libraries listed below

• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 4 years ago
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• LevinRoman / parameter-space-saliency
  Parameter-Space Saliency Maps for Explainability
  ☆23Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• benbo / interactive-weak-supervision
  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
  ☆31Updated 4 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 3 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 4 years ago
• LCS2-IIITD / TransEvolve
  ☆11Updated 3 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• BatsResearch / nplm
  A weak supervision framework for (partial) labeling functions
  ☆16Updated 9 months ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• mariushobbhahn / LB_for_BNNs_official
  Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…
  ☆12Updated 2 years ago
• HazyResearch / augmentation_code
  Reproducible code for Augmentation paper
  ☆17Updated 6 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• lucidrains / metaformer-gpt
  Implementation of Metaformer, but in an autoregressive manner
  ☆24Updated 2 years ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 4 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• rehg-lab / CLRec
  Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"
  ☆33Updated 2 years ago
• lawrennd / neurips2014
  Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.
  ☆11Updated 11 months ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• visinf / fast-axiomatic-attribution
  Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
  ☆16Updated last year
• facebookresearch / dmae_st
  Directed masked autoencoders
  ☆14Updated 2 years ago