arapat / sparrowLinks
Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory settings.
☆21Updated 5 years ago
Alternatives and similar repositories for sparrow
Users that are interested in sparrow are comparing it to the libraries listed below
Sorting:
- Python application to setup and run streaming (contextual) bandit experiments.☆83Updated 4 months ago
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- ☆104Updated last month
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- ☆78Updated 4 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- ☆92Updated 6 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆70Updated 8 years ago
- Performance of various open source GBM implementations☆223Updated 2 months ago
- Work-In-Progress: conjoint analysis in Python☆50Updated 7 years ago
- ☆161Updated 4 years ago
- Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit☆21Updated 7 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Multidimensional isotonic regression☆28Updated 8 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)☆46Updated 4 years ago
- ☆13Updated 7 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Willump Is a Low-Latency Useful Machine learning Platform.☆45Updated 2 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- Tools that make working with scikit-learn and pandas easier.☆44Updated last month
- Self-Taught Data Science☆31Updated 2 years ago
- Better, faster hyper-parameter optimization☆113Updated 2 years ago
- Estimators to perform off-policy evaluation☆13Updated last year
- Scale Optuna with Dask☆35Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆25Updated 9 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago