SciKit-Learn Laboratory VS PaddlePaddle

Compare SciKit-Learn Laboratory vs PaddlePaddle and see what are their differences.

SciKit-Learn Laboratory

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments. (by EducationalTestingService)
Machine Learning Python scikit-learn HacktoberFest
Source Code
skll.readthedocs.org
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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)
Machine Learning Paddlepaddle Deep Learning Scalability neural-network Python Efficiency distributed-training
Source Code
paddlepaddle.org
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SciKit-Learn Laboratory PaddlePaddle
- 6
552 21,584
0.0% 0.8%
8.7 10.0
about 2 months ago 7 days ago
Python C++
GNU General Public License v3.0 or later 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.

SciKit-Learn Laboratory

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

We haven't tracked posts mentioning SciKit-Learn Laboratory 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 SciKit-Learn Laboratory and PaddlePaddle you can also consider the following projects:

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

tensorflow - An Open Source Machine Learning Framework for Everyone

seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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

Keras - Deep Learning for humans

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

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

MLflow - Open source platform for the machine learning lifecycle

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

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

SciKit-Learn Laboratory vs Prophet PaddlePaddle vs tensorflow SciKit-Learn Laboratory vs seqeval PaddlePaddle vs PyTorch-NLP SciKit-Learn Laboratory vs Keras PaddlePaddle vs Keras SciKit-Learn Laboratory vs Pylearn2 PaddlePaddle vs xgboost SciKit-Learn Laboratory vs tensorflow PaddlePaddle vs MLflow SciKit-Learn Laboratory vs scikit-learn PaddlePaddle vs gym