High_performance_r
Instructions and benchmarks for high-performance computing in R
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Benchm Ml | 1,839 | 2 years ago | 11 | mit | R | |||||
| A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.). | ||||||||||
| Pycm | 1,413 |  | 5 | 13 | 4 months ago | 44 | June 07, 2023 | 12 | mit | Python |
| Multi-class confusion matrix library in Python | ||||||||||
| Datasets | 521 | a year ago | mit | |||||||
| A repository of pretty cool datasets that I collected for network science and machine learning research. | ||||||||||
| Dance | 284 | 4 months ago | 4 | December 04, 2023 | 24 | bsd-2-clause | Python | |||
| DANCE: A Deep Learning Library and Benchmark Platform for Single-Cell Analysis | ||||||||||
| Matbench | 88 |  | 2 | 4 months ago | 5 | July 27, 2022 | 37 | mit | Python | |
| Matbench: Benchmarks for materials science property prediction | ||||||||||
| Sortingalgorithm.hayateshiki | 82 | 5 years ago | 1 | mit | C++ | |||||
| Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort". | ||||||||||
| Spatiotemporal_datasets | 39 | a year ago | apache-2.0 | |||||||
| Spatiotemporal datasets collected for network science, deep learning and general machine learning research. | ||||||||||
| Mofdscribe | 32 | 7 months ago | 8 | April 12, 2023 | 119 | mit | Python | |||
| An ecosystem for digital reticular chemistry | ||||||||||
| Snist | 26 | a year ago | mit | Jupyter Notebook | ||||||
| A Benchmark for Seismic Velocity Inversion from Synthetics | ||||||||||
| Cookbook Rpolars | 23 | 9 months ago | 5 | cc-by-4.0 | CSS | |||||
| Cookbook to provide solutions to common tasks and problems in using Polars with R | ||||||||||
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