|
|
Python |
2 |
sklearn, xgboost |
Jul 20, 2023 |
|
|
None |
219 |
Bayesian Optimization using xgboost and sklearn API |
Feb 18, 2023 |
|
|
Python |
3 |
providing tools of pandas, numpy and sklearn for pytorch |
Nov 06, 2020 |
|
|
None |
2 |
Transposition in PyTorch to Sklearn models such as Random Forest or SVM |
Nov 20, 2021 |
|
|
Python |
37 |
Transposition in PyTorch to Sklearn models such as Random Forest or SVM |
Mar 17, 2023 |
|
|
Python |
7 |
Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages. |
Jun 23, 2023 |
|
|
Python |
487 |
XGBoost + Optuna |
Sep 10, 2022 |
|
|
Python |
22 |
Xgboost implementation |
Mar 19, 2023 |
|
|
C++ |
25 |
Fork of dmlc/xgboost for RAPIDS + XGBoost integration |
Aug 16, 2022 |
|
|
None |
2 |
python教程，包括：python基础、python进阶；常用机器学习库：numpy、scipy、sklearn、xgboost；深度学习库：keras、tensorflow、paddle、pytorch。 |
Feb 13, 2022 |
|
|
Jupyter Notebook |
2 |
sklearn curve |
Jun 06, 2023 |
|
|
Jupyter Notebook |
69 |
Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support. |
Aug 01, 2022 |
|
|
Julia |
223 |
XGBoost Julia Package |
Aug 11, 2022 |
|
|
Python |
14 |
MLflow XGBoost Regressor |
Jul 19, 2022 |
|
|
Python |
10 |
Fork of dask/dask-xgboost for RAPIDS + Dask-XGBoost integration |
Oct 04, 2021 |
|
|
Jupyter Notebook |
3 |
sklearn学习 |
Nov 13, 2021 |
|
|
Makefile |
22 |
DevOps SKlearn Microservice |
Apr 04, 2022 |
|
|
Scala |
4 |
Xgboost / LightGbm on Spark |
Feb 13, 2022 |
|
|
Jupyter Notebook |
11 |
Conda recipes for xgboost |
Jun 12, 2022 |
|
|
C++ |
557 |
https://github.com/dmlc/xgboost |
Apr 25, 2023 |
|
|
Jupyter Notebook |
2 |
logistic/xgboost/lightgbm/dl |
Jan 20, 2022 |
|
|
Python |
22 |
Privacy-preserving XGBoost Inference |
May 27, 2022 |
|
|
Go |
67 |
XGBoost bindings for golang |
Jul 26, 2022 |
|
|
Python |
88 |
Distributed XGBoost on Ray |
Jul 28, 2022 |
|
|
Jupyter Notebook |
2 |
Gradient Boosting com XGBoost |
May 24, 2022 |
|
|
C |
2 |
XGBoost implementation in C |
Sep 12, 2023 |
|
|
Jupyter Notebook |
2 |
Demo of using XGBoost |
Jun 13, 2023 |
|
|
Rust |
3 |
Rust bindings for XGBoost. |
Jul 03, 2023 |
|
|
Python |
5 |
PyTorch, sklearn, numpy Implementation for classfication (using the MNIST dataset).Implemented algorithms include: KNN、DecisionTree、ANN... |
Jul 01, 2022 |
|
|
Jupyter Notebook |
4 |
Presentations on Auto-sklearn |
Apr 29, 2022 |
|
|
Python |
2633 |
Pandas integration with sklearn |
Aug 10, 2022 |
|
|
Python |
8 |
Prune your sklearn models |
Apr 20, 2023 |
|
|
Python |
21 |
Pandas integration with sklearn |
Mar 05, 2021 |
|
|
Jupyter Notebook |
2 |
sklearn pipeline making machine |
Feb 20, 2023 |
|
|
Haskell |
8 |
XGBoost for Haskell via FFI. |
Mar 11, 2021 |
|
|
C++ |
8 |
Databricks Private xgboost Linux64 fork |
Nov 20, 2021 |
|
|
JavaScript |
538 |
XGBoost 中文文档 |
Aug 02, 2022 |
|
|
C++ |
20 |
xgboost go wrapper for c_api |
Aug 10, 2022 |
|
|
R |
20 |
Structure mining for xgboost model |
Mar 29, 2022 |
|
|
Python |
77 |
Incubating project for xgboost operator |
Mar 12, 2022 |
|
|
Jupyter Notebook |
24 |
LR / SVM / XGBoost / RandomForest etc. |
Mar 04, 2023 |
|
|
Clojure |
3 |
A xgboost plugin for scicloj.ml |
Jan 22, 2023 |
|
|
R |
17 |
mixgb: multiple imputation through XGBoost |
May 28, 2023 |
|
|
Jupyter Notebook |
6 |
Parkinson's disease detector using XGBoost |
May 01, 2023 |
|
|
Python |
12 |
Latent dirichlet allocation using Sklearn |
Mar 29, 2022 |
|
|
Python |
1432 |
Hyper-parameter optimization for sklearn |
May 02, 2023 |
|
|
Python |
2 |
Multi Layer Perceptron with sklearn |
Oct 27, 2019 |
|
|
Python |
2 |
Hyper-parameter optimization for sklearn |
Feb 15, 2017 |
|
|
Python |
6 |
sklearn interface for quantum algorithms |
Jun 01, 2023 |
|
|
HTML |
2 |
techminer migration to sklearn compatibility |
Jun 18, 2023 |