ceras
CNTK
ceras | CNTK | |
---|---|---|
1 | 1 | |
113 | 17,435 | |
- | 0.0% | |
3.6 | 0.0 | |
about 1 year ago | about 1 year ago | |
C++ | C++ | |
- | GNU General Public License v3.0 or later |
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ceras
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Neural nets in production systems
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.
CNTK
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
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)
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Drogon-torch-serve - Serve pytorch / torch models using Drogon
Caffe - Caffe: a fast open framework for deep learning.
Keras - Deep Learning for humans
scikit-learn - scikit-learn: machine learning in Python
tiny-cnn - header only, dependency-free deep learning framework in C++14
gensim - Topic Modelling for Humans