Random Forest or XGBoost? It is Time to Explore LCE
☆70Aug 15, 2023Updated 2 years ago
Alternatives and similar repositories for LCE
Users that are interested in LCE are comparing it to the libraries listed below
Sorting:
- A mixture density network, by PyTorch, for scikit-learn☆25Feb 27, 2026Updated 3 weeks ago
- Robust piecewise regression☆14Jan 23, 2026Updated last month
- All Relevant Feature Selection☆142Apr 3, 2025Updated 11 months ago
- A Polars plugin for encrypting and decrypting data using AES-GSM-CIV algorithm in Rust☆11Jan 8, 2025Updated last year
- Rethinking machine learning pipelines☆35Sep 29, 2025Updated 5 months ago
- Code for paper: "Privately generating tabular data using language models".☆15Jun 13, 2023Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆537Jan 6, 2026Updated 2 months ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆11Jul 18, 2023Updated 2 years ago
- Generalized additive model with pairwise interactions☆68Mar 22, 2024Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,573Feb 24, 2026Updated 3 weeks ago
- Channel (Feature) selection for Multivariate Time series classification☆15Jun 28, 2023Updated 2 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- Toolkit to forge scikit-learn compatible estimators☆19Mar 1, 2026Updated 2 weeks ago
- ☆18Feb 7, 2024Updated 2 years ago
- ☆11Feb 11, 2025Updated last year
- ☆11Dec 8, 2022Updated 3 years ago
- lvgl linux camera☆14Aug 7, 2023Updated 2 years ago
- Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)☆10Mar 3, 2022Updated 4 years ago
- Analyze and model weekly calendar distributions using latent components☆21Mar 9, 2026Updated last week
- DL Backtrace is a new explainablity technique for deep learning models that works for any modality and model type.☆24Feb 16, 2026Updated last month
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Mar 17, 2019Updated 7 years ago
- Have UV deal with all your Jupyter deps.☆28Sep 7, 2024Updated last year
- FairGrad, is an easy to use general purpose approach to enforce fairness for gradient descent based methods.☆14Oct 2, 2023Updated 2 years ago
- Presentations of the advanced topics in optimization☆11Oct 30, 2019Updated 6 years ago
- ☆15Dec 9, 2020Updated 5 years ago
- Adds timm pretrained backbone to pytorch's FasterRcnn model☆12Jan 25, 2024Updated 2 years ago
- A unified framework for Deep Learning Models on tabular data☆1,641Mar 10, 2026Updated last week
- A Zoo for decorators☆27Mar 1, 2026Updated 2 weeks ago
- GA Data Science NY Section 7☆27Mar 6, 2014Updated 12 years ago
- An extension of XGBoost to probabilistic modelling☆695Dec 11, 2025Updated 3 months ago
- Hacks for PyTorch☆19Apr 18, 2023Updated 2 years ago
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆440Apr 23, 2024Updated last year
- Collection of indicators that I used in my strategies.☆60Apr 2, 2025Updated 11 months ago
- ☆10Sep 19, 2023Updated 2 years ago
- Repositorio general para Bootcamps de Data Science en Coding Dojo☆11Nov 13, 2025Updated 4 months ago
- Probabilistic prediction with XGBoost.☆121Mar 22, 2025Updated 11 months ago
- Our 1st place solution to finnet challenge☆10May 29, 2020Updated 5 years ago
- GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''☆16May 7, 2022Updated 3 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆66Jan 19, 2026Updated 2 months ago