Alternatives and similar repositories for pyraug

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

• alawryaguila / multi-view-AE
  Multi-view-AE: An extensive collection of multi-modal autoencoders implemented in a modular, scikit-learn style framework.
  ☆53Updated 10 months ago
• julschoen / Latent-Space-Exploration-CT
  Exploration of the latent space of generative models on Lung-CT scans
  ☆16Updated 2 years ago
• berenslab / t-simcne
  Unsupervised visualization of image datasets using contrastive learning
  ☆114Updated last month
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• jacobgil / confidenceinterval
  The long missing library for python confidence intervals
  ☆138Updated last year
• scikit-learn-contrib / scikit-dimension
  A Python package for intrinsic dimension estimation
  ☆91Updated last month
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• HazyResearch / domino
  ☆138Updated last year
• zhiCHEN96 / ConceptWhitening
  ☆120Updated 3 years ago
• dccastro / Morpho-MNIST
  Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)
  ☆87Updated 5 months ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• Sulam-Group / h-shap
  h-Shap provides an exact, fast, hierarchical implementation of Shapley coefficients for image explanations
  ☆16Updated last year
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆27Updated 4 years ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆105Updated 3 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆98Updated 2 years ago
• twsl / whos-there
  The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends
  ☆77Updated 6 months ago
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆125Updated last week
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆25Updated 2 years ago
• seedatnabeel / Data-SUITE
  Data-SUITE: Data-centric identification of in-distribution incongruous examples (ICML 2022)
  ☆10Updated 2 years ago
• biomedia-mira / deepscm
  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
  ☆281Updated last year
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆55Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆70Updated 3 years ago
• M2Lschool / tutorials2022
  The M2L school 2022 tutorials
  ☆36Updated 2 years ago
• aangelopoulos / conformal_classification
  Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…
  ☆241Updated 2 years ago
• vanderschaarlab / Interpretability
  Resources for Machine Learning Explainability
  ☆80Updated 9 months ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago