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GitHub / shiveshc / NIDDL
Deep denoising pushes the limit of functional data acquisition by recovering high SNR calcium traces from low SNR videos acquired using low laser power or smaller exposure time. Thus deep denoising enables faster and longer volumetric recordings.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shiveshc%2FNIDDL
Stars: 8
Forks: 3
Open Issues: 4
License: gpl-2.0
Language: Python
Repo Size: 1.85 GB
Dependencies:
57
Created: over 2 years ago
Updated: 2 months ago
Last pushed: 9 months ago
Last synced: 17 days ago
Files
Dependencies
- Cython ==0.29.21
- Keras ==2.0.8
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.2
- Markdown ==3.2.2
- Pillow ==7.2.0
- PyWavelets ==1.1.1
- PyYAML ==5.3.1
- Werkzeug ==1.0.1
- absl-py ==0.11.0
- astor ==0.8.1
- bleach ==1.5.0
- certifi ==2020.6.20
- cycler ==0.10.0
- decorator ==4.4.2
- gast ==0.4.0
- google-pasta ==0.2.0
- grpcio ==1.35.0
- h5py ==2.10.0
- html5lib ==0.9999999
- imagecodecs ==2019.12.31
- imagecodecs-lite ==2020.1.31
- imageio ==2.9.0
- importlib-metadata ==2.1.1
- kiwisolver ==1.1.0
- matplotlib ==3.0.3
- networkx ==2.4
- numpy ==1.16.6
- opencv-python ==4.4.0.42
- protobuf ==3.14.0
- pyparsing ==2.4.7
- python-dateutil ==2.8.1
- scikit-image ==0.15.0
- scipy ==1.4.1
- six ==1.15.0
- tensorflow-gpu ==1.6.0
- termcolor ==1.1.0
- tifffile ==2019.7.26.2
- tqdm ==4.61.2
- wrapt ==1.12.1
- zipp ==1.2.0