ceras VS frugally-deep

Compare ceras vs frugally-deep and see what are their differences.

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ceras frugally-deep
1 5
113 1,045
- -
3.6 8.0
about 1 year ago 13 days ago
C++ C++
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

frugally-deep

Posts with mentions or reviews of frugally-deep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.

What are some alternatives?

When comparing ceras and frugally-deep you can also consider the following projects:

tensorflow - An Open Source Machine Learning Framework for Everyone

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

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)

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

tiny-cnn - header only, dependency-free deep learning framework in C++14

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

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

Genann - simple neural network library in ANSI C

nano

Native System Automation - Native cross-platform system automation

Veles - Distributed machine learning platform