spt VS PaddlePaddle

Compare spt vs PaddlePaddle and see what are their differences.

spt

Simple pomodoro timer that doubles your efficiency (by pickfire)

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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spt PaddlePaddle
1 6
110 21,642
- 0.6%
2.6 10.0
about 2 years ago 6 days ago
C C++
ISC 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.

spt

Posts with mentions or reviews of spt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-02.

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 spt and PaddlePaddle you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

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

Keras - Deep Learning for humans

MLflow - Open source platform for the machine learning lifecycle

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.

python-recsys - A python library for implementing a recommender system

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

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

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

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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