slideflow
Deep learning library for digital pathology, with both Tensorflow and PyTorch support. (by jamesdolezal)
keras
Deep Learning for humans [Moved to: https://github.com/keras-team/keras] (by fchollet)
| slideflow | keras | |
|---|---|---|
| 4 | 3 | |
| 223 | 54,926 | |
| - | - | |
| 9.6 | 9.9 | |
| 5 days ago | about 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
slideflow
Posts with mentions or reviews of slideflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-12.
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[R] [P] Slideflow 2.0: End-to-end digital pathology toolkit with RPi-compatible deployment
Easy-to-use API with clear documentation
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Suggestions for a socially valuable project that would welcome an unpaid contributor [D]
I run an open source, medical AI project for digital pathology called Slideflow at the University of Chicago. We’re working on developing reliable biomarkers for patients with lung, breast, and thyroid cancer, and we can always use more help! Got lots of interesting active projects - uncertainty quantification, generative models, embedded systems deployment - send me a DM if it sounds interesting!
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[R] [P] Slideflow: a deep learning framework for digital histology
After years of development, we've released our open-source deep learning framework for digital histology, Slideflow (https://github.com/jamesdolezal/slideflow). It has flexible and highly optimized whole-slide image processing, support for a wide variety of existing and custom architectures (with continuous, categorical, or time-series outcomes), real-time digital stain normalization, a number of explainability tools, and integrated uncertainty quantification. It's compatible with both Tensorflow and PyTorch, available on PyPI and DockerHub, and comes with good documentation (https://slideflow.dev/). We've tried out a number of alternative frameworks over the years, and I think the easy of use, flexibility, and performance optimizations set it apart from other repos you'll find on GitHub.
keras
Posts with mentions or reviews of keras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-13.
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Keras - Difference between categorical_accuracy and sparse_categorical_accuracy
The source code can be found here:
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keras error on predict
Here
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How to get reproducible results in keras
I get different results (test accuracy) every time I run the imdb_lstm.py example from Keras framework (https://github.com/fchollet/keras/blob/master/examples/imdb_lstm.py)The code contains np.random.seed(1337) in the top, before any keras imports. It should prevent it from generating different numbers for every run. What am I missing?