Population and element-level analysis of neuronal computations
Project description
driada
Dimensionality Reduction for Integrated Activity Data
Installation (old):
conda create driada
conda activate driada
conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia
conda install scikit-learn numba pywavelets networkx pandas regex openpyxl chardet pytest pynndescent seaborn
pip install cmake PyDrive2 wget gdown umap-learn pydiffmap cvxpy torch torch-mist
Installation (new):
pip install driada[gpu]
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
driada-0.0.3.2.tar.gz
(74.4 kB
view details)
Built Distribution
driada-0.0.3.2-py3-none-any.whl
(86.3 kB
view details)
File details
Details for the file driada-0.0.3.2.tar.gz.
File metadata
- Download URL: driada-0.0.3.2.tar.gz
- Upload date:
- Size: 74.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 31a0dd903362ad9dad17151c41b03657c20039405ee1d93b1243faf4d691d25e |
|
| MD5 | 2bee4c7282063c6abc4ec236e2f4d8ad |
|
| BLAKE2b-256 | d18e148d445d8d64a847ec6ad358293044ffa1ad2ab65fab0db600cb8bdd6cfd |
File details
Details for the file driada-0.0.3.2-py3-none-any.whl.
File metadata
- Download URL: driada-0.0.3.2-py3-none-any.whl
- Upload date:
- Size: 86.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 67cf38bd9255f6261af2ffb298fa1f2d6207659dbafbc076159a83528a107516 |
|
| MD5 | a9b7015f0ffd3171c7c8c099752930f5 |
|
| BLAKE2b-256 | d43c527a4bdbb9c2848b11647c70699cfa9c121b312877d47329400e7a0012eb |
