ceras VS PaddlePaddle

Compare ceras vs PaddlePaddle and see what are their differences.

ceras

Ceras is yet another tiny deep learning engine, in pure c++ and header only. (by fengwang)

PaddlePaddle

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ceras PaddlePaddle
1 6
113 21,625
- 0.5%
3.6 10.0
about 1 year ago 2 days ago
C++ C++
- 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.

ceras

Posts with mentions or reviews of ceras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-17.
  • Neural nets in production systems
    2 projects | /r/cpp | 17 Sep 2022
    Maybe you can take a look at my toy repo (https://github.com/fengwang/ceras) before getting started. This library heavily uses templated meta-programming techniques to build the computation graph at compile time, and is header only.

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 ceras and PaddlePaddle you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

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

Drogon-torch-serve - Serve pytorch / torch models using Drogon

Keras - Deep Learning for humans

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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