Khiops is an AutoML suite for supervised and unsupervised learning
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Updated
Jul 9, 2024 - C++
Khiops is an AutoML suite for supervised and unsupervised learning
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
Simple implementation of the K-Nearest Neighbour algorithm
Simulation platform for drones swarms
Pattern Recognition Systems Course - 4th year, 1st semester
A software package for large-scale linear multilabel classification.
This repo contains the files for building a basic autonomous driving framework
Implementation of a Spiking Neuronal Network for Quadruped Robot Control - Biomedical Engineering (UNIGE)
C++ implementation of ProXML for Extreme Multi-label Classification
Learning Aided Semantic Bayesian Kernel Inference for 3D Semantic Global Mapping
K Nearest Neighbours Implemented in C++
Fusion of LiDAR and depth camera data with deep learning for object detection and classification
Getting started with C++ artificial intelligence and robotics.
(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.
A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.
GitHub repository for the source code used in the CoInGP paper.
Software Design lab on building a classification model using the Naive Bayes Classifier supervised learning algorithm. Reads handwritten digits from 0-9 and writes back which digit is written.
Python code for basic Supervised Neuronal Network
OBJET: A Computer Vision Graphical Sandbox
code for paper submission "Bonsai - Diverse and Shallow Trees for ExtremeMulti-label Classification"
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