| JuliaLang/julia |
43,937 |
|
0 |
6 |
about 2 years ago |
11 |
August 23, 2022 |
4,994 |
mit |
Julia |
| The Julia Programming Language |
| rasbt/mlxtend |
4,669 |
|
95 |
94 |
over 2 years ago |
51 |
September 25, 2023 |
139 |
other |
Python |
| A library of extension and helper modules for Python's data analysis and machine learning libraries. |
| Hedgehog-Computing/hedgehog-lab |
2,357 |
|
0 |
0 |
over 2 years ago |
0 |
|
39 |
apache-2.0 |
TypeScript |
| Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation. |
| SciML/ModelingToolkit.jl |
1,292 |
|
0 |
0 |
about 2 years ago |
0 |
|
438 |
other |
Julia |
| An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations |
| owlbarn/owl |
1,118 |
|
0 |
0 |
over 2 years ago |
0 |
|
77 |
mit |
OCaml |
| Owl - OCaml Scientific Computing @ http://ocaml.xyz |
| neuml/paperai |
1,023 |
|
0 |
0 |
over 2 years ago |
13 |
September 18, 2023 |
2 |
apache-2.0 |
Python |
| 📄 🤖 Semantic search and workflows for medical/scientific papers |
| pdebench/PDEBench |
522 |
|
0 |
0 |
over 2 years ago |
1 |
August 25, 2023 |
8 |
other |
Python |
| PDEBench: An Extensive Benchmark for Scientific Machine Learning |
| conradsnicta/armadillo-code |
439 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
|
| Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net |
| Andrewnetwork/WorkshopScipy |
396 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A workshop for scientific computing in Python. ( December 2017 ) |
| mitmath/18S096SciML |
268 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
|
HTML |
| 18.S096 - Applications of Scientific Machine Learning |
