Pylearn2
SciKit-Learn Laboratory
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| Pylearn2 | SciKit-Learn Laboratory | |
|---|---|---|
| 1 | - | |
| 2,752 | 552 | |
| 0.0% | 0.0% | |
| 0.0 | 8.7 | |
| over 2 years ago | about 2 months ago | |
| Python | Python | |
| BSD 1-Clause License | GNU General Public License v3.0 or later |
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.
Pylearn2
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iNeural : Update (8.12.21)
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.
SciKit-Learn Laboratory
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Tracking mentions began in Dec 2020.
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