PyBrain VS tensorflow

Compare PyBrain vs tensorflow and see what are their differences.

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PyBrain tensorflow
- 233
2,858 186,583
- 0.2%
0.0 10.0
5 months ago 6 days ago
Python C++
BSD 3-clause "New" or "Revised" 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.

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.

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 2024-10-28.

What are some alternatives?

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

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

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)

Keras - Deep Learning for humans

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

HotBits Python API - Python API for HotBits random data generator

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Pylearn2 - Warning: This project does not have any current developer. See bellow.

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

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

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SaaSHub helps you find the best software and product alternatives
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