SciKit-Learn Laboratory
Pylearn2
SciKit-Learn Laboratory | Pylearn2 | |
---|---|---|
- | 1 | |
550 | 2,752 | |
-0.2% | 0.0% | |
8.7 | 0.0 | |
2 months ago | over 2 years ago | |
Python | Python | |
BSD 1-Clause License | BSD 1-Clause License |
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SciKit-Learn Laboratory
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Tracking mentions began in Dec 2020.
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.
What are some alternatives?
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tensorflow - An Open Source Machine Learning Framework for Everyone
PyBrain
scikit-learn - scikit-learn: machine learning in Python
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
NuPIC - Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
gym - A toolkit for developing and comparing reinforcement learning algorithms.