Fido alternatives and similar libraries
Based on the "Machine Learning" category.
Alternatively, view Fido alternatives based on common mentions on social networks and blogs.
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mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more -
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
A general purpose cross-platform C++ library designed using contract programming and modern C++ techniques. [Boost] -
catboost
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R -
Recommender
C library for product recommendations/suggestions using collaborative filtering (CF). [BSD] -
sofia-ml
The suite of fast incremental algorithms for machine learning. [Apache2]
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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.
*Note that all licence references and agreements mentioned in the Fido README section above
are relevant to that project's source code only.