TDA-tutorial
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
파일 탐색기
최종 버전 다운로드 (.zip)- requirements.txt
- test_notebooks.yml
- 1anf.corr_1.txt
- 1ez9.corr_1.txt
- 1fqa.corr_2.txt
- 1fqb.corr_3.txt
- 1fqc.corr_2.txt
- 1fqd.corr_3.txt
- 1jw4.corr_4.txt
- 1jw5.corr_5.txt
- 1lls.corr_6.txt
- 1mpd.corr_4.txt
- 1omp.corr_7.txt
- 3hpi.corr_5.txt
- 3mbp.corr_6.txt
- 4mbp.corr_7.txt
- mnist_test.csv
- crater_tuto
- data_acc
- ElongatedTorus.txt
- human.off
- human.txt
- mnist_test.csv
- NoisyTrefoil180.txt
- tore3D_1307.off
- trefoil_dist
- CodeCogsEqnRp.gif
- MatchingDiag.png
- nappe_distance_avec_bruit.png
- nappe_distance_sans_bruit.png
- nappe_dtm_avec_bruit.png
- pers.png
- Pers14.PNG
- persistence.png
- Simplex_tree_representation.png
- sous_niveau_kPDTM2.png
- sous_niveau_kPDTM_cov2.png
- sublevf.png
- symbole_infini.png
- broken_links_scraper.py
- KeplerMapperVisuFromTxtFile.py
- persistence_statistics.py
- utils_dtm.py
- utils_epd.py
- utils_quantization.py
- Tuto-GUDHI-alpha-complex-visualization.ipynb
- Tuto-GUDHI-Barycenters-of-persistence-diagrams.ipynb
- Tuto-GUDHI-ConfRegions-PersDiag-datapoints.ipynb
- Tuto-GUDHI-cover-complex.ipynb
- Tuto-GUDHI-cubical-complexes.ipynb
- Tuto-GUDHI-DTM-filtrations.ipynb
- Tuto-GUDHI-Expected-persistence-diagrams.ipynb
- Tuto-GUDHI-extended-persistence.ipynb
- Tuto-GUDHI-kPDTM-kPLM.ipynb
- Tuto-GUDHI-optimization.ipynb
- Tuto-GUDHI-persistence-diagrams.ipynb
- Tuto-GUDHI-persistent-entropy.ipynb
- Tuto-GUDHI-perslay-visu.ipynb
- Tuto-GUDHI-PyTorch-optimization.ipynb
- Tuto-GUDHI-Quantization-of-persistence-diagrams.ipynb
- Tuto-GUDHI-representations.ipynb
- Tuto-GUDHI-simplex-Trees.ipynb
- Tuto-GUDHI-simplicial-complexes-from-data-points.ipynb
- Tuto-GUDHI-simplicial-complexes-from-distance-matrix.ipynb
- .gitignore
- LICENSE
- README.md
- README.Rmd
# 설치 가이드
1. 코드 내려받기
git clone https://github.com/GUDHI/TDA-tutorial
깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.
cd TDA-tutorial
방금 내려받은 프로젝트 폴더 안으로 이동합니다.
2. Python
쉬움 추천사전 준비물
pip install -r .binder/requirements.txt
requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.
jupyter notebook
브라우저에서 노트북(.ipynb) 파일들을 열람하고 실행할 수 있는 Jupyter 화면을 켭니다.
에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.
// repository documentation
Was this content helpful?
(0 ratings)
