MLLite
Ubiquitous C++ Machine Learning By Design. The Goal of MLLite is to make algorithms available to all CPUs, Programming Languages, Databases, Wearable Devices...
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- France
- info@mllite.org
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Repositories
Showing 10 of 13 repositories
- xgboost_reproducible_randoms Public Forked from dmlc/xgboost
XGBoost Special Fork for MLLite Prototyping (2023-11)
- scikit-learn_reproducible_randoms Public Forked from scikit-learn/scikit-learn
Scikit-Learn Special Fork for MLLite Prototyping (2023-09)
- sklearn2json Public
A tool to jsonify some sklearn and xgboost models. A high level serialization that works across programming languages. Used for mllite tests.
- TinyML_On_MicroControllers_Demo Public
Demo of a prototype using MLLite for training and deployment of Machine Learning Models on various devices and microcontrollers.
- reproducible_random Public
A python random number generator that can be reproduced across hardware and software platforms. Based on the C++ standard random number generator (std::mt19937) . Source only.
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