Fido Alternatives - C++ Machine Learning

Popularity

4.2

Declining

Activity

0.0

Stable

Stars 403

Watchers 35

Forks 78

Last Commit about 1 year ago

Code Quality Rank: L5

Programming language: C++

License: MIT License

Tags: Machine Learning

Latest version: v0.0.4

Fido alternatives and similar libraries

Based on the "Machine Learning" category.
Alternatively, view Fido alternatives based on common mentions on social networks and blogs.

Caffe

9.9 0.0 L1 Fido VS Caffe

A fast framework for neural networks. [BSD]
mxnet

9.8 9.5 L1 Fido VS mxnet

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

Get performance insights in less than 4 minutes

Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

Sponsored scoutapm.com

xgboost

9.8 9.4 L1 Fido VS 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, Flink and DataFlow. [Apache2]
Dlib

9.5 8.3 L1 Fido VS Dlib

A general purpose cross-platform C++ library designed using contract programming and modern C++ techniques. [Boost]
Caffe2

9.3 0.0 Fido VS Caffe2

A lightweight, modular, and scalable deep learning framework. [Apache2] website
vowpal_wabbit

9.2 9.1 L1 Fido VS vowpal_wabbit

fast out-of-core learning system
CCV

9.1 8.8 L2 Fido VS CCV

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]
catboost

8.8 10.0 Fido VS catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
mlpack

8.6 0.0 L1 Fido VS mlpack

a scalable C++ machine learning library [BSD-3-Clause]
SHOGUN

8.2 7.1 L1 Fido VS SHOGUN

The Shogun Machine Learning Toolbox. [GPLv3]
Porcupine

7.3 8.6 Fido VS Porcupine

On-device wake word detection engine powered by deep learning.
RNNLIB

5.8 0.0 Fido VS RNNLIB

RNNLIB is a recurrent neural network library for sequence learning problems. [GPLv3]
Minerva

5.6 0.0 L1 Fido VS Minerva

A fast and flexible system for deep learning. [Apache2]
MeTA

5.4 0.0 L3 Fido VS MeTA

A modern C++ data sciences toolkit. [MIT] website
Recommender

3.6 0.0 L4 Fido VS Recommender

C library for product recommendations/suggestions using collaborative filtering (CF). [BSD]
NN++

3.3 0.0 L3 Fido VS NN++

A small and easy to use neural net implementation for C++
faiss-server

2.2 0.0 Fido VS faiss-server

faiss serving :)
OpenHotspot

1.5 0.0 L4 Fido VS OpenHotspot

OpenHotspot is a machine learning, crime analysis framework written in C++11.
sofia-ml

- Fido VS sofia-ml

The suite of fast incremental algorithms for machine learning. [Apache2]

* Code Quality Rankings and insights are calculated and provided by Lumnify.
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README

Fido

Fido is an lightweight, highly modular C++ machine learning library for embedded electronics and robotics. Fido is especially suited for robotic and embedded contexts, as it is written in C++ with minimal use of the standard library, comes packaged with a robotic simulator, and provides and easy interface in which to write robotic drivers.

Check out the project site and documentation for more information.

The library was adapted from a universal robot control system.

Authors

The Fido library was primarily developed by Michael Truell. Joshua Gruenstein helped develop Fido's robotic simulator. Most of his commits are to the schematics and paper of a decoupled research study that he and Michael performed together.

Beta Status

This library is in beta. It has been used in a couple of projects, but the API may still change in backward-incompatible ways. There are definetly bugs.

Contributing

Send us a pull request. If you are looking for things to do, check out the repo's open issues. If you find a bug or have any trouble with the library, please open an issue. We are happy to help you out.