A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
☆61Nov 22, 2021Updated 4 years ago
Alternatives and similar repositories for KTBoost
Users that are interested in KTBoost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tree-Boosting, Gaussian Processes, and Mixed-Effects Models☆704Updated this week
- Multidimensional isotonic regression☆29Mar 17, 2017Updated 9 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 6 years ago
- An extension of Py-Boost to probabilistic modelling☆24Jan 19, 2023Updated 3 years ago
- ☆15Mar 25, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- pains filter using rdktit☆11Mar 17, 2015Updated 11 years ago
- Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)☆13Dec 8, 2022Updated 3 years ago
- Python tutorial for the french motor third party liability 2 dataset☆11Nov 27, 2019Updated 6 years ago
- ☆15Feb 25, 2018Updated 8 years ago
- Sparrow is a boosting algorithm implementation that is optimized for training on very large datasets and/or in the limited memory setting…☆21Jan 15, 2021Updated 5 years ago
- Repo for the ML_Insights python package☆155Apr 14, 2025Updated last year
- Using Bayesian inference to mine rule sets☆12Jan 9, 2020Updated 6 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 8 years ago
- Fuzzy machine learning algorithms implementing the scikit-learn interface.☆79Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Continual Learning for Infinite Hierarchical Change-Point Detection☆10Oct 22, 2019Updated 7 years ago
- Implementation of iMolCLR: "Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast" in …☆19Aug 30, 2022Updated 4 years ago
- ☆10Jul 16, 2020Updated 6 years ago
- The R package varycoef implements Gaussian processes spatially varying coefficient models.☆16May 4, 2025Updated last year
- Remove effects of truncated side-products from read count data of a DNA-encoded library.☆29May 4, 2020Updated 6 years ago
- A package to build Gradient boosted trees for ordinal labels☆22Mar 31, 2025Updated last year
- Objective metrics for measuring visual texture similarity using STSIM features. Supervised by Thrasos Pappas.☆14Oct 4, 2023Updated 3 years ago
- Repository of demos, resources and tutorials on DataScience and Machine Learning.☆10Mar 5, 2023Updated 3 years ago
- R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the …☆11Nov 22, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Generalized additive model with pairwise interactions☆69Mar 22, 2024Updated 2 years ago
- Open source implementation of Logical Analysis of Data (LAD) Algorithm.☆16Oct 6, 2023Updated 3 years ago
- Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.☆16Feb 12, 2018Updated 8 years ago
- [Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis☆12May 12, 2020Updated 6 years ago
- ☆26Jun 19, 2020Updated 6 years ago
- An extension of XGBoost to probabilistic modelling☆734Oct 2, 2026Updated 3 weeks ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆39Jul 17, 2026Updated 3 months ago
- Another, hopefully better, implementation of ALS on Spark☆14May 20, 2015Updated 11 years ago
- GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data☆38Apr 8, 2026Updated 6 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Volatility models for stock prices using deep learning and mixture models.☆15Aug 20, 2022Updated 4 years ago
- Surrogate Assisted Feature Extraction☆37Aug 19, 2021Updated 5 years ago
- Hierarchical Change-Point Detection☆17Oct 25, 2018Updated 8 years ago
- Fast implementation of some Continuous Wavelet Transforms.☆12Feb 13, 2014Updated 12 years ago
- Trellis is a Python framework for research into deep hedging☆24May 13, 2021Updated 5 years ago
- Workshop repository for the "Make-like declarative workflows with R" tutorial at the SIB in Zurich, March 5, 2018☆31Mar 5, 2018Updated 8 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Mar 21, 2016Updated 10 years ago