RNNLIB VS Fido

Compare RNNLIB vs Fido and see what are their differences.

RNNLIB

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/ (by szcom)

Fido

A lightweight C++ machine learning library for embedded electronics and robotics. (by FidoProject)
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RNNLIB Fido
- -
895 427
- 0.2%
0.0 0.0
about 4 years ago over 4 years ago
C C++
GNU General Public License v3.0 only MIT License
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.

RNNLIB

Posts with mentions or reviews of RNNLIB. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning RNNLIB yet.
Tracking mentions began in Dec 2020.

Fido

Posts with mentions or reviews of Fido. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Fido yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing RNNLIB and Fido you can also consider the following projects:

mlpack - mlpack: a fast, header-only C++ machine learning library

CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

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

vowpal_wabbit - Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Caffe - Caffe: a fast open framework for deep learning.

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

faiss-server - faiss serving :)