gabrieljaguiar / image-meta-feature-extractor
An image meta-feature extractor for meta-learning tasks.
☆12Updated last year
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
- Post-hoc Nemenyi test for algorithm statistical comparison.☆21Updated 4 years ago
- R package for data complexity measures for imbalanced classification tasks☆9Updated 3 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated 2 years ago
- ☆15Updated 6 years ago
- A process mining library built upon scikit-learn!☆21Updated last week
- Python Meta-Feature Extractor package.☆133Updated 10 months ago
- Meta-Feature Extractor☆28Updated 3 years ago
- Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.☆9Updated 3 years ago
- This repository serves as a demo for River and its associated clustering module (2022 edition).☆13Updated last year
- ☆76Updated 6 months ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆239Updated 2 years ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆54Updated 3 months ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- A modular Python framework for standardized evaluation and benchmarking of online learning models.☆9Updated 2 years ago
- ☆21Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆45Updated 2 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆29Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- A fairness library in PyTorch.☆27Updated 9 months ago
- Reference tables to introduce and organize evaluation methods and measures for explainable machine learning systems☆74Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆150Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆148Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆98Updated 7 months ago