ealcobaca / meta-padawan
Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.
☆9Updated 3 years ago
Alternatives and similar repositories for meta-padawan:
Users that are interested in meta-padawan are comparing it to the libraries listed below
- R package for data complexity measures for imbalanced classification tasks☆9Updated 3 years ago
- Python Meta-Feature Extractor package.☆130Updated 7 months ago
- Meaningful Local Explanation for Machine Learning Models☆41Updated last year
- Data structures' lectures for Computer Engineering course, UTFPR - Apucarana☆32Updated 2 years ago
- Meta-Feature Extractor☆28Updated 2 years ago
- Post-hoc Nemenyi test for algorithm statistical comparison.☆21Updated 4 years ago
- An image meta-feature extractor for meta-learning tasks.☆12Updated last year
- Extended Complexity Library in R☆57Updated 4 years ago
- ☆15Updated 6 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 5 months ago
- Python Accumulated Local Effects package☆163Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- All Relevant Feature Selection☆126Updated last week
- Random Forest with Dynamic Tree Selection Monte Carlo Based (RF-TSMC).☆48Updated 2 months ago
- A Python library for dynamic classifier and ensemble selection☆483Updated 10 months ago
- A power-full Shapley feature selection method.☆203Updated 9 months ago
- ☆74Updated 4 months ago
- Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.☆133Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Machine Learning solutions for Kaggle contests☆15Updated 4 years ago
- Python package for Imputation Methods☆245Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆165Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆193Updated last year
- A benchmark to evaluate popular CASH and AutoML frameworks☆16Updated 10 months ago
- ☆47Updated 7 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆571Updated 8 months ago
- Code for performing various projection pursuit routines☆35Updated 2 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago