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

Caffe: a fast open framework for deep learning.
xgboost

9.8 9.6 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, Dask, Flink and DataFlow

InfluxDB - Power Real-Time Data Analytics at Scale

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

Promo www.influxdata.com

mxnet

9.7 4.1 L1 Fido VS mxnet

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

9.5 7.9 L1 Fido VS Dlib

A toolkit for making real world machine learning and data analysis applications in C++
Caffe2

9.3 0.0 Fido VS Caffe2

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

9.1 8.1 L1 Fido VS 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.
CCV

8.9 9.5 L2 Fido VS CCV

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

8.8 9.9 Fido VS catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
mlpack

8.5 9.9 L1 Fido VS mlpack

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

7.9 4.8 L1 Fido VS SHOGUN

Shōgun
Porcupine

7.6 9.1 Fido VS Porcupine

On-device wake word detection powered by deep learning
Minerva

5.6 0.0 L1 Fido VS Minerva

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

5.5 0.0 Fido VS RNNLIB

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

5.3 0.0 L3 Fido VS MeTA

A Modern C++ Data Sciences Toolkit
Recommender

3.6 0.0 L4 Fido VS Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF)
NN++

3.3 0.0 L3 Fido VS NN++

A small and easy to use neural net implementation for C++. Just download and #include!
faiss-server

2.7 0.0 Fido VS faiss-server

faiss serving :)
OpenHotspot

1.5 0.0 L4 Fido VS OpenHotspot

DISCONTINUED. OpenHotspot is a machine learning, crime analysis framework written in C++11.
gaenari

1.4 0.0 Fido VS gaenari

c++ incremental decision tree
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.
They vary from L1 to L5 with "L5" being the highest.

Do you think we are missing an alternative of Fido or a related project?

Add another 'Machine Learning' Library

Popular Comparisons

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.