neptune-contrib
Pylearn2
Our great sponsors
| neptune-contrib | Pylearn2 | |
|---|---|---|
| - | 1 | |
| 27 | 2,752 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| MIT License | BSD 1-Clause License |
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neptune-contrib
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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?
Keras - Deep Learning for humans
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
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
gym - A toolkit for developing and comparing reinforcement learning algorithms.
Gas detection - Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors
bodywork - ML pipeline orchestration and model deployments on Kubernetes.