MLP Classifier VS skflow

Compare MLP Classifier vs skflow and see what are their differences.

MLP Classifier

A handwritten multilayer perceptron classifer using numpy. (by meetvora)

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning (by tensorflow)
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MLP Classifier skflow
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226 3,209
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0.0 1.3
over 7 years ago about 3 years ago
Python Python
MIT License Apache License 2.0
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.

MLP Classifier

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

We haven't tracked posts mentioning MLP Classifier yet.
Tracking mentions began in Dec 2020.

skflow

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

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

What are some alternatives?

When comparing MLP Classifier and skflow you can also consider the following projects:

Keras - Deep Learning 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

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

tensorflow - An Open Source Machine Learning Framework for Everyone

HotBits Python API - Python API for HotBits random data generator

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

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

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

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