ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Updated
May 7, 2024 - C++
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-label Classification Rules
Scikit-learn-compatible python3 wrapper for Tsetlini - a Tsetlin Machine learning model
Sistema HIL, código sensor virtual, entrenamiento de dos ANN's. Para desarrollo de tesis y articulo sobre el tema.
Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible interface.
Auto-ML based on a coevolutionary model.
An active vision system on the PR2 humanoid robot to dynamically detect objects via the head and arm cameras
Machine Learning Models Deployment using C++ Code Generation
This is my implementation of the 3D Pick and Place project for the Udacity Robotics Nanodegree. We perform multiple processes to segment a point cloud into its object components and use scikit-learn to do object recognition. A PR2 robot then performs a pick and place operation on the recognized objects in simulation with ROS and Gazebo.
A tool built on top of OpenFace to detect eye contact with babies.
Framework of vectorized and distributed data analytics
Fast Best-Subset Selection Library
Samples and Tools for Windows ML.
Fit interpretable models. Explain blackbox machine learning.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Created by David Cournapeau
Released January 05, 2010
Latest release 13 days ago