Pylearn2 VS SciKit-Learn Laboratory

Compare Pylearn2 vs SciKit-Learn Laboratory and see what are their differences.

Pylearn2

Warning: This project does not have any current developer. See bellow. (by lisa-lab)

SciKit-Learn Laboratory

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. (by EducationalTestingService)
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Pylearn2 SciKit-Learn Laboratory
1 0
2,716 527
0.1% 0.2%
1.2 8.4
5 months ago 27 days ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

Pylearn2

Posts with mentions or reviews of Pylearn2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-08.
  • iNeural : Update (8.12.21)
    3 projects | dev.to | 8 Dec 2021
    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

Posts with mentions or reviews of SciKit-Learn Laboratory. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning SciKit-Learn Laboratory yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Pylearn2 and SciKit-Learn Laboratory you can also consider the following projects:

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Keras - Deep Learning for humans

tensorflow - An Open Source Machine Learning Framework for Everyone

scikit-learn - scikit-learn: machine learning in Python

gym - A toolkit for developing and comparing reinforcement learning algorithms.

PyBrain

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