jianzhnie / AutoTabularLinks
Automatic machine learning for tabular data. ⚡🔥⚡
☆70Updated 3 years ago
Alternatives and similar repositories for AutoTabular
Users that are interested in AutoTabular are comparing it to the libraries listed below
Sorting:
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- A neural network hyper parameter tuner☆30Updated last year
- A toolkit to boost the productivity of machine learning engineers.☆52Updated 2 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆55Updated 3 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.☆84Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 3 months ago
- ☆28Updated 2 years ago
- ☆26Updated 5 years ago
- Automatic Feature Engineering for Time Series☆17Updated 2 years ago
- ☆18Updated 5 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 4 months ago
- M6-Forecasting competition☆43Updated last year
- A repo for transfer learning with deep tabular models☆103Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 9 months ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast☆16Updated 3 years ago
- FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)☆71Updated 3 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning☆35Updated last month
- An extension of Py-Boost to probabilistic modelling☆22Updated 2 years ago
- Easy Custom Losses for Tree Boosters using Pytorch☆34Updated 4 years ago
- Time-Series Cross-Validation Module☆44Updated 3 years ago
- A library for Time Series EDA (exploratory data analysis)☆69Updated 9 months ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆25Updated 3 years ago
- Optuna + LightGBM = OptGBM☆35Updated 2 years ago
- [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"☆24Updated 2 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆20Updated last year