PyBrain
Pylearn2
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| PyBrain | Pylearn2 | |
|---|---|---|
| - | 1 | |
| 2,853 | 2,752 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| 3 months ago | over 2 years ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 1-Clause License |
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PyBrain
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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?
tensorflow - An Open Source Machine Learning Framework for Everyone
Keras - Deep Learning for humans
scikit-learn - scikit-learn: machine learning in Python
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
HotBits Python API - Python API for HotBits random data generator
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
gym - A toolkit for developing and comparing reinforcement learning algorithms.