Gradient boosting using categorical structure
☆28May 13, 2025Updated last year
Alternatives and similar repositories for structureboost
Users that are interested in structureboost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PaloBoost is an overfitting-robust Gradient Boosting algorithm.☆16Dec 20, 2019Updated 6 years ago
- 1st place solution of "Re：不動産取引価格予測" competition on Probspace☆10Oct 7, 2020Updated 5 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- lightgbmのfeature-transform（特徴量の非線形化）をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します☆10Nov 7, 2017Updated 8 years ago
- MID (Mutual Information Dimension) for measuring statistical dependence between two random variables☆12Apr 21, 2013Updated 13 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- nishika akutagawa compedition 2nd prize : https://www.nishika.com/competitions/1/summary☆25Mar 6, 2020Updated 6 years ago
- Experimental ADMM approach to neural networks☆12Nov 8, 2016Updated 9 years ago
- ☆10Feb 2, 2023Updated 3 years ago
- Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.☆11Jun 3, 2022Updated 4 years ago
- Dataset corresponding to the paper: "Form2Seq : A Framework for Higher-Order Form Structure Extraction"☆10Feb 17, 2021Updated 5 years ago
- GBM implementation on Legate☆14Jul 10, 2026Updated 2 months ago
- Explore tips and tricks to deploy machine learning models with Docker.☆14Jul 6, 2023Updated 3 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- R script for Otto Group Production Classification on Kaggle☆30Dec 11, 2015Updated 10 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Advanced GBM Workshop - Budapest, Nov 2019☆13Nov 18, 2019Updated 6 years ago
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆14Apr 16, 2026Updated 5 months ago
- An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.☆16Jun 30, 2022Updated 4 years ago
- ☆13Jul 23, 2025Updated last year
- Simple, extensible implementations of some meta-learning algorithms in Jax☆11Oct 6, 2020Updated 5 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Aug 1, 2021Updated 5 years ago
- tidymodels extension package: binding specialty kernels & support vector machines to {parsnip}, {recipes}, and more!☆12Jul 13, 2025Updated last year
- {gslnls}: GSL multi-start nonlinear least-squares fitting in R☆17Sep 28, 2025Updated 11 months ago
- The Python wrapper for LowRankModels.jl.☆15Aug 26, 2019Updated 7 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 Tree Search Library for Data Cleaning☆22Feb 15, 2022Updated 4 years ago
- Conformal Bayes with importance sampling☆24Oct 25, 2021Updated 4 years ago
- Implementation of Stochastic Depth Networks in Keras☆13Sep 10, 2016Updated 10 years ago
- ☆11Apr 15, 2020Updated 6 years ago
- Function to calculate consistency of phase at a given frequency across measurements☆18Feb 4, 2018Updated 8 years ago
- Implementation of GP-BART algorithm.☆18Jun 8, 2026Updated 3 months ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated 2 years ago
- ☆12Mar 2, 2021Updated 5 years ago
- ☆15Jul 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.
- A library for Time-Series exploration, analysis & modelling.☆17Dec 10, 2020Updated 5 years ago
- Scalable Monotonic Neural Networks☆12Mar 14, 2024Updated 2 years ago
- A Python Package for Probabilistic Prediction☆22Apr 18, 2021Updated 5 years ago
- 3rd place solution of Kaggle MLB Player Digital Engagement Forecasting☆11Sep 18, 2021Updated 5 years ago
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆13Dec 7, 2023Updated 2 years ago
- ☆15Jul 12, 2019Updated 7 years ago
- convert PubLayNet data into METS/PAGE-XML☆10Mar 17, 2020Updated 6 years ago