szilard / GBM-perf
Performance of various open source GBM implementations
☆217Updated 9 months ago
Alternatives and similar repositories for GBM-perf:
Users that are interested in GBM-perf are comparing it to the libraries listed below
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- An R package that makes xgboost models fully interpretable☆255Updated 6 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆120Updated 3 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆184Updated 6 years ago
- ☆162Updated 3 years ago
- Resources for Data Science Process management☆204Updated 5 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆122Updated 3 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Python implementation of R package breakDown☆42Updated last year
- Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.☆175Updated 2 months ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- XGBoost Feature Interactions & Importance☆499Updated 7 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆255Updated 4 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 6 years ago
- Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development☆60Updated 4 years ago
- Mixed Effects Random Forest☆228Updated 10 months ago
- Repo for the ML_Insights python package☆150Updated this week
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- An R package for time series models and forecasts with xgboost compatible with {forecast} S3 classes☆140Updated 7 years ago
- Just some of my kaggle scripts☆88Updated 9 years ago
- ☆79Updated 4 years ago
- Hierarchical and Grouped Time Series☆110Updated 3 months ago
- Show how to perform fast retraining with LightGBM in different business cases☆54Updated 5 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Python application to setup and run streaming (contextual) bandit experiments.☆80Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆285Updated 3 months ago
- A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.☆212Updated 7 years ago
- Python solver for mixed-effects models☆98Updated 7 years ago
- XGBoost Feature Interactions Reshaped☆428Updated 7 years ago