deepxde VS PaddlePaddle

Compare deepxde vs PaddlePaddle and see what are their differences.

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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deepxde PaddlePaddle
2 6
2,328 21,616
- 1.0%
8.7 10.0
10 days ago 5 days ago
Python C++
GNU Lesser General Public License v3.0 only 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.

deepxde

Posts with mentions or reviews of deepxde. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-24.

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 deepxde and PaddlePaddle you can also consider the following projects:

NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

tensorflow - An Open Source Machine Learning Framework for Everyone

diffrax - Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

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

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Keras - Deep Learning for humans

deep_learning_and_the_game_of_go - Code and other material for the book "Deep Learning and the Game of Go"

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

pymadcad - Simple yet powerful CAD (Computer Aided Design) library, written with Python.

MLflow - Open source platform for the machine learning lifecycle

NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

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