Pylearn2 VS Gas detection

Compare Pylearn2 vs Gas detection and see what are their differences.

Pylearn2

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

Gas detection

Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors (by filips123)
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Pylearn2 Gas detection
1 -
2,752 18
0.0% -
0.0 0.0
over 2 years ago over 4 years ago
Python Python
BSD 1-Clause 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.

Gas detection

Posts with mentions or reviews of Gas detection. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Gas detection yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Pylearn2 and Gas detection you can also consider the following projects:

Keras - Deep Learning for humans

ino - Command line toolkit for working with Arduino hardware

SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

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

tensorflow - An Open Source Machine Learning Framework for Everyone

pySerial - Python serial port access library

PyBrain

python-recsys - A python library for implementing a recommender system

gensim - Topic Modelling for Humans

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

keyboard - Hook and simulate global keyboard events on Windows and Linux.