arapat / sparrow
Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory settings.
☆21Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for sparrow
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 6 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- ☆29Updated 6 months ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 years ago
- Paper and talk from KDD 2019 XAI Workshop☆20Updated 4 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 4 years ago
- ☆12Updated 2 years ago
- Python implementation of R package breakDown☆41Updated last year
- A curated list of gradient boosting machines (GBM) resources☆10Updated 5 years ago
- Scripts for paper "Encoding high-cardinality string categorical variables"☆24Updated 5 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- Estimators to perform off-policy evaluation☆13Updated 2 months ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Tools for Measuring Classification Performance for R, Python and Spark☆13Updated 6 years ago
- ☆15Updated 6 years ago
- dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.☆57Updated 3 years ago
- Evaluation of early stopping algorithms in A/B testing☆16Updated 7 years ago
- A forest that is fast☆41Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 7 years ago
- Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.☆9Updated 5 months ago
- Helpers for scikit learn☆16Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆19Updated 3 years ago
- ☆8Updated 5 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 4 years ago
- ☆13Updated 6 years ago
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆47Updated 3 years ago
- ☆27Updated 6 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆12Updated 5 years ago
- Multidimensional isotonic regression☆27Updated 7 years ago