Popular GitHub Repositories for Euclidean

A Euclidean diffusion model for structure-based drug design.

Euclidean Neural Networks

A library for optimization on Riemannian manifolds

A small-scale flask server facial recognition system, using a pre-trained facenet model with real-time web camera face recognition functionality, and a pre-trained Multi-Task Cascading Convolutional Neural Network (MTCNN) for face detection and cropping.

Mixed-curvature Variational Autoencoders (ICLR 2020)

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Expiremental Speech Recognition System using VHDL & MATLAB.

wildboar is a Python module for temporal machine learning

A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.

Local Vector Database coded in c# supports Cosine Similarity, Jaccard Dissimilarity as well as Euclidean , Manhattan, ChebyShev and Canberra distances

Using Google’s FaceNet (Inception) model to learn the mapping of face images into compact Euclidean space distances for face recognition, A multi-task cascaded framework (MTCNN) for feaure extraction, and Liveness detection by tracking the relative distances between these features.

Machine learning- based solution to the problem of duplicity in the bug reports repository.

A Python Library Implementing Dimension Insensitive Euclidean Metric (DIEM)

Incrementally partition data into `k` clusters.

Code for Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin, WACV (2024)

Tensors and Eigen-Decomposition in 3D for Medical Imaging (OpenMP)

Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment

AI Tool for Social Distancing - Master's University Project

Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program

A project featuring the use of various NLP techniques and ML algorithms like the topic modelling and paragraph embeddings, for document clustering. ??