hyperTDA

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 16)

Piece-wise Linear curves converted to point-clouds, analysed with Persistent Homology, represented as HyperGraphs.

hyperTDA 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# hyperTDA
Piece-wise Linear curves converted to point-clouds, analysed with Persistent Homology, represented as HyperGraphs.
Associated with preprint "Hypergraphs for multiscale cycles in structured data" at https://doi.org/10.48550/arXiv.2210.07545

## REQUIREMENTS
- Julia (tested on v1.7.3)
- Python (tested on v3.10.6)
- unix shell (tested on zsh v5.8.1)

## INSTALL
- `./install.sh` which sets a git alias `git root`, initializes submodules and 
  runs `./install.jl`.
- Julia packages are listed in `./install.jl` and tested versions in `Manifest.toml` and `Project.toml`. Running `./install.sh` installs the tested versions to a local environment and `./install.jl --global` installs the newest available versions to the global environment.
- Python packages are listed in `requirements.txt` and can be installed with 
  e.g. `pip install -r requirements.txt` or `conda create --name=hyperTDA 
  --file=requirements.txt` requiring either `pip` (pip3) or `conda` (e.g. miniconda3 or miniforge).
  For the exact versions tested on Mac OS with Arm64 architecture use 
  `requirements_tested.txt`.

## EXAMPLE USE
Example input files, commands and output files are provided in subfolders of `examples/`. See `RUNME.sh` for each example.

## PAPER RESULTS
Results discussed in the paper are provided in `results/`, see e.g. jupyter notebooks in subfolders.

## TIMING
- Git clone ~ 3 min
- Julia package install ~ 3 min
- Python package install ~ 1 min
- running examples
  - default pipeline (two curves of 132 and 101 points) ~ 30 sec
  - with interpolation (two curves each of 500 points) ~ 1 min 30 sec

hyperTDA

hyperTDA 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

hyperTDA

hyperTDA 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README