skflow VS PaddlePaddle

Compare skflow vs PaddlePaddle and see what are their differences.

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning (by tensorflow)

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) (by PaddlePaddle)
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skflow PaddlePaddle
- 6
3,209 21,686
- 0.3%
1.3 10.0
almost 3 years ago 5 days ago
Python C++
Apache License 2.0 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.

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.

PaddlePaddle

Posts with mentions or reviews of PaddlePaddle. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

What are some alternatives?

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

Keras - Deep Learning for humans

tensorflow - An Open Source Machine Learning Framework for Everyone

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

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

MLP Classifier - A handwritten multilayer perceptron classifer using numpy.

MLflow - Open source platform for the machine learning lifecycle

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

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

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