tensorflow VS PyBrain

Compare tensorflow vs PyBrain and see what are their differences.

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tensorflow PyBrain
120 0
162,329 2,806
0.9% -
10.0 0.0
1 day ago about 1 month ago
C++ Python
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-12.

PyBrain

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

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

What are some alternatives?

When comparing tensorflow and PyBrain you can also consider the following projects:

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)

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

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

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

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

MLflow - Open source platform for the machine learning lifecycle

gensim - Topic Modelling for Humans

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit