bodywork VS MLP Classifier

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

bodywork

ML pipeline orchestration and model deployments on Kubernetes. (by bodywork-ml)

MLP Classifier

A handwritten multilayer perceptron classifer using numpy. (by meetvora)
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bodywork MLP Classifier
8 0
430 224
- -
0.0 0.0
7 months ago about 7 years ago
Python Python
GNU Affero General Public License v3.0 MIT License
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.

bodywork

Posts with mentions or reviews of bodywork. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-17.

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.

What are some alternatives?

When comparing bodywork and MLP Classifier 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

tensorflow - An Open Source Machine Learning Framework for Everyone

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

HotBits Python API - Python API for HotBits random data generator

skflow - Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

NuPIC - Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

gensim - Topic Modelling for Humans

Crab - Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

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

PyBrain