Alternatives and similar repositories for image-meta-feature-extractor

Users that are interested in image-meta-feature-extractor are comparing it to the libraries listed below

• gabrieljaguiar / nemenyi
  Post-hoc Nemenyi test for algorithm statistical comparison.
  ☆22Updated 4 years ago
• victorhb / ImbCoL
  R package for data complexity measures for imbalanced classification tasks
  ☆9Updated 4 years ago
• tiagobotari / melime
  Meaningful Local Explanation for Machine Learning Models
  ☆41Updated 2 years ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 4 years ago
• smastelini / mtr-toolkit
  ☆16Updated 6 years ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last year
• rivolli / mfe
  Meta-Feature Extractor
  ☆29Updated 3 years ago
• ealcobaca / meta-padawan
  Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
  ☆9Updated 3 years ago
• hoanganhngo610 / river-clustering-demo-2022
  This repository serves as a demo for River and its associated clustering module (2022 edition).
  ☆13Updated last year
• raseidi / skpm
  A process mining library built upon scikit-learn!
  ☆21Updated 2 weeks ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• haugjo / float
  A modular Python framework for standardized evaluation and benchmarking of online learning models.
  ☆9Updated 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
• steverab / failing-loudly
  Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…
  ☆105Updated last year
• SinaMohseni / Awesome-XAI-Evaluation
  Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems
  ☆74Updated 3 years ago
• rehmanzafar / xai-iml-sota
  Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human…
  ☆73Updated 2 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• amramabutbul / DisjunctiveNormalFormNet
  ☆10Updated 4 years ago
• vlosing / driftDatasets
  ☆50Updated 6 years ago
• automl / lcpfn
  ☆17Updated 8 months ago
• online-ml / river-extra
  Extra functionalities for river
  ☆14Updated last year
• damianhorna / multi-imbalance
  Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
  ☆78Updated last year
• p-lambda / verified_calibration
  Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…
  ☆150Updated 2 years ago
• hollance / reliability-diagrams
  Reliability diagrams visualize whether a classifier model needs calibration
  ☆152Updated 3 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆53Updated last year
• sherbold / autorank
  ☆79Updated this week
• ZhengzeZhou / slime
  ☆17Updated last year
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 9 months ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated last month