celldetection | Cell Detection with PyTorch
kandi X-RAY | celldetection Summary
kandi X-RAY | celldetection Summary
celldetection is a Python library. celldetection has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Cell Detection with PyTorch.
Cell Detection with PyTorch.
Support
Quality
Security
License
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Support
celldetection has a low active ecosystem.
It has 62 star(s) with 14 fork(s). There are 7 watchers for this library.
It had no major release in the last 12 months.
There are 7 open issues and 2 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of celldetection is v0.3.1
Quality
celldetection has no bugs reported.
Security
celldetection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
celldetection is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
celldetection releases are available to install and integrate.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed celldetection and discovered the below as its top functions. This is intended to give you an instant insight into celldetection implemented functionality, and help decide if they suit your requirements.
- Forward computation
- Compute the loss of the objective function
- Add a loss to the loss dictionary
- Downsampling of inputs
- Add a schedule to the schedule
- Find matching labels in a and b
- Return a dictionary mapping labels to counts
- Calculate distance between inputs and targets
- Plot Quiver plot
- Ensure x is a tensor
- Exponential moving average
- Map the state_dict to the map
- Plot an image
- Wrapper function for config2optimizer
- Load an image
- Generate random geometry
- Get the local rank of a comm
- Decorator to enable spectral normalization
- Replace all submodules of a module
- Serve an iterator
- Train a single epoch
- Calculate r1 regularization
- Query a source
- Create labels from labels
- Convert a list of contours to labels
- Weight normalization
Get all kandi verified functions for this library.
celldetection Key Features
No Key Features are available at this moment for celldetection.
celldetection Examples and Code Snippets
No Code Snippets are available at this moment for celldetection.
Community Discussions
No Community Discussions are available at this moment for celldetection.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install celldetection
Make sure you have PyTorch installed.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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