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R |
16 |
Hyperband tuning for mlr3 |
Apr 11, 2022 |
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R |
8 |
Tuning spaces for mlr3 learners. |
Jul 26, 2022 |
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R |
41 |
Spatiotemporal resampling methods for mlr3 |
Aug 04, 2022 |
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HTML |
14 |
Forecasting for mlr3 |
Mar 30, 2022 |
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R |
33 |
Visualizations for mlr3 |
Feb 11, 2022 |
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TeX |
113 |
mlr3 manual |
Aug 10, 2022 |
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R |
4 |
Ordinal Regression for mlr3 |
Dec 07, 2021 |
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R |
6 |
Survival analysis for mlr3 |
Feb 23, 2021 |
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R |
13 |
Cluster analysis for mlr3 |
Jun 12, 2022 |
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Dockerfile |
2 |
Docker Image for mlr3 |
Sep 18, 2021 |
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R |
3 |
Multiple Targets for mlr3 |
Dec 17, 2021 |
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R |
30 |
Deep learning for mlr3 |
Aug 02, 2022 |
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R |
74 |
Recommended learners for mlr3 |
Jul 09, 2022 |
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None |
5 |
Collection of ChatGPT alternatives & LLM tuning methods |
Mar 30, 2023 |
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R |
9 |
Miscellaneous helper functions for mlr3 |
Jul 19, 2022 |
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R |
12 |
Wrapper feature selection for mlr3 |
Aug 29, 2022 |
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R |
2 |
Functional Data Analysis for mlr3 |
Nov 20, 2022 |
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|
R |
72 |
Probabilistic Supervised Learning for mlr3 |
Aug 15, 2022 |
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Python |
8 |
Minimal implementation of multiple PEFT methods for LLaMA fine-tuning |
Apr 26, 2023 |
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|
None |
2 |
Minimal implementation of multiple PEFT methods for LLaMA fine-tuning |
Apr 20, 2023 |
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R |
5 |
Learner from package {<package>} for mlr3 |
Sep 18, 2021 |
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HTML |
10 |
Cheat Sheets for mlr3 and Friends |
Aug 08, 2022 |
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R |
13 |
Filter-based feature selection for mlr3 |
Aug 29, 2022 |
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R |
16 |
Black-Box Optimization Toolkit for mlr3 |
May 20, 2022 |
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HTML |
18 |
Template for using mlr3 with drake |
May 07, 2022 |
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R |
41 |
Extra learners for use in mlr3. |
Aug 02, 2022 |
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R |
6 |
Connect torch to mlr3 |
Jun 21, 2022 |
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R |
3 |
Connect mlr3 with OpenML |
Apr 30, 2022 |
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HTML |
20 |
Case studies using mlr3 |
Apr 11, 2022 |
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R |
11 |
mlr3 extension for Fairness in Machine Learning |
Feb 11, 2022 |
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R |
21 |
Meta-package for installing/updating mlr3* packages. |
Aug 10, 2022 |
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R |
7 |
Performance measures used in mlr3 |
Dec 07, 2021 |
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R |
2 |
Connector between mlr3 and batchtools |
Oct 19, 2021 |
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|
None |
4 |
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) |
Nov 08, 2021 |
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Jupyter Notebook |
1012 |
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) |
Sep 05, 2022 |
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|
None |
2 |
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) |
Dec 11, 2020 |
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|
R |
9 |
Analysis and tools for benchmarking in mlr3 and beyond. |
Jun 03, 2022 |
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|
R |
676 |
mlr3: Machine Learning in R - next generation |
Aug 19, 2022 |
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|
None |
2 |
mlr3: Machine Learning in R - next generation |
Jan 03, 2024 |
|
|
Jupyter Notebook |
7 |
Contains notebooks for hyper-parameter tuning, model tuning |
Mar 01, 2023 |
|
|
Python |
2 |
library of self implemented computer vision deep learning architectures and optimization/tuning methods |
May 10, 2022 |
|
|
None |
49 |
Must-read Papers of Parameter Efficient Methods on Pre-trained Models (Delta Tuning). |
Aug 15, 2022 |
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|
None |
248 |
Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT. |
Mar 22, 2023 |
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|
None |
6 |
PPT for Fine tuning |
Dec 24, 2019 |
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|
Python |
1206 |
Repository for hyperparameter tuning |
Aug 03, 2022 |
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|
Python |
2584 |
Hyperparameter tuning for humans |
Aug 11, 2022 |
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|
JavaScript |
3 |
Repository for hyperparameter tuning |
Jan 05, 2023 |
|
|
JavaScript |
6 |
Script for tuning cars |
Jul 01, 2022 |
|
|
None |
5 |
Tuning database for CLBlast |
Apr 18, 2023 |
|
|
Python |
2 |
Hyperparameter tuning for humans |
Jul 07, 2023 |