PiotrekGa / pruned-cv
Machine Learning package allowing faster cross-validation
☆18Updated 5 years ago
Alternatives and similar repositories for pruned-cv
Users that are interested in pruned-cv are comparing it to the libraries listed below
Sorting:
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 5 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 6 years ago
- ☆16Updated 5 years ago
- Yet Another Neural Network Library 🤔☆27Updated last month
- ☆26Updated 5 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- General Interpretability Package☆58Updated 2 years ago
- mimic calibration☆21Updated 5 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"☆17Updated 6 years ago
- eSNN - Learning similarity measure from data☆12Updated 5 years ago
- ☆27Updated 7 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated last year
- Gradient boosting on steroids☆28Updated 11 months ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- In-place debugger for the fastai library and pytorch☆28Updated 3 years ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Updated 4 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 4 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- A lightweight command line interface for the management of arbitrary machine learning tasks☆19Updated 4 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- Missing Data Imputation Python Library☆35Updated 5 years ago