Experimental Gradient Boosting Machines in Python with numba.
☆187Dec 26, 2018Updated 7 years ago
Alternatives and similar repositories for pygbm
Users that are interested in pygbm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Mar 3, 2018Updated 8 years ago
- MA4128 Github Assessment☆10Dec 12, 2021Updated 4 years ago
- Confidence intervals for scikit-learn forest algorithms☆290Oct 4, 2026Updated 3 weeks ago
- Reports for the Numerai machine learning competition☆14Apr 19, 2022Updated 4 years ago
- Library for integrated use of H2O with Hyperopt☆13Apr 8, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆259Aug 29, 2020Updated 6 years ago
- ML-Ensemble – high performance ensemble learning☆866Nov 13, 2023Updated 2 years ago
- Several maximum likelihood ICA algorithms, including Picard☆23Sep 13, 2017Updated 9 years ago
- ☆52Jul 22, 2018Updated 8 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 8, 2022Updated 4 years ago
- Data Analysis Baseline Library☆725Dec 16, 2024Updated last year
- Conda packages from flit information☆10Dec 10, 2021Updated 4 years ago
- ArrayViews: creating specific views to array storage objects☆16Feb 6, 2019Updated 7 years ago
- A garden for scikit-learn compatible trees☆288Jun 20, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Jun 3, 2016Updated 10 years ago
- ☆77Mar 23, 2021Updated 5 years ago
- Performance of various open source GBM implementations☆225Feb 17, 2026Updated 8 months ago
- scikit-learn compatible implementation of stability selection.☆215Jun 5, 2023Updated 3 years ago
- A library of sklearn compatible categorical variable encoders☆2,511Oct 24, 2026Updated last week
- This is a matlab implementation of Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering. The code is simil…☆11Jan 11, 2016Updated 10 years ago
- fast time series visualization☆18Jun 28, 2019Updated 7 years ago
- Automatic differentiation + optimization☆100Mar 21, 2019Updated 7 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆182Sep 17, 2018Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Examples of building probabilistic models with MXNet linear algebra operators☆23Oct 24, 2017Updated 9 years ago
- ☆78Jan 23, 2026Updated 9 months ago
- Machine learning with dataframes☆1,665Updated this week
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Aug 7, 2020Updated 6 years ago
- ☆21May 5, 2020Updated 6 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆29Jul 13, 2019Updated 7 years ago
- Show how to perform fast retraining with LightGBM in different business cases☆54Jul 18, 2019Updated 7 years ago
- A mixture density network, by PyTorch, for scikit-learn☆26Feb 27, 2026Updated 8 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,829Feb 23, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆17Oct 20, 2017Updated 9 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,408Feb 19, 2025Updated last year
- Universal model exchange and serialization format for decision tree forests☆833Updated this week
- ☆23Nov 8, 2020Updated 5 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆243Jun 10, 2025Updated last year
- Natural Gradient Boosting for Probabilistic Prediction☆1,900Updated this week
- Randomized online matrix factorization☆140Jun 16, 2020Updated 6 years ago