Showing results for barriers Vector
GitHub Repo
https://github.com/alexander-io/Flocking-Algorithms-PixiJS
alexander-io/Flocking-Algorithms-PixiJS
Inspired by naturally observed flocking and swarming behavior, I wrote an algorithm to reflect. Implemented in 2D vector graphics library PixiJS. There are a few classes including bird, predator, and barrier. Drop a barrier by clicking with mouse.
GitHub Repo
https://github.com/olinicker/android-constraintLayout-academico
olinicker/android-constraintLayout-academico
Repositório do trabalho prático da disciplina de Programação para Dispositivos Móveis, focado na exploração e implementação de layouts complexos usando ConstraintLayout no Android Studio. Inclui exemplos de MainActivity, BlogPostActivity (com ScrollView), SerieActivity (com SeekBar e Vector Assets) e ConcursoTextosActivity (com Barriers e Chains).
GitHub Repo
https://github.com/Bhadra-lab/B3P3-v
Bhadra-lab/B3P3-v
B3P3-ν model for predicting Blood-Brain Barrier Penetrating Peptides (BBBPPs) using a Nu-Support Vector Classifier (Nu-SVC)
GitHub Repo
https://github.com/rsmogura/vector-memory-barriers-slices
rsmogura/vector-memory-barriers-slices
No repository description available.
GitHub Repo
https://github.com/Asanoci/Convex-Optimization-Homework-Barrier-method
Asanoci/Convex-Optimization-Homework-Barrier-method
The goal of this homework was to implement the barrier method in order to solve a general quadratic problem with two Newton methods (damped Newton method and backtracking line-search Newton method). We then use these methods to solve the Support Vector Machine Problem.
GitHub Repo
https://github.com/arpita739/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
arpita739/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
GitHub Repo
https://github.com/aditya25bce10623/machine-learning-based-languge-detection-model
aditya25bce10623/machine-learning-based-languge-detection-model
This end-to-end NLP web application provides real-time language detection and translation to seamlessly bridge cross-cultural communication barriers. Powered by a custom Multinomial Naive Bayes classifier built with Python and Scikit-Learn, the system accurately identifies text across multiple languages. By implementing TF-IDF vectorization
GitHub Repo
https://github.com/tiagovficagna/Hypersymbol
tiagovficagna/Hypersymbol
🧩 50-Dimensional Semantic Communication Protocol for LLMs. Model-agnostic framework that eliminates language barriers using semantic vectors.
GitHub Repo
https://github.com/einstein07/cbf-gvf
einstein07/cbf-gvf
Control Barrier Function with Guiding Vector Field controller
GitHub Repo
https://github.com/QuentinCoic/Convex-Optimization-Homework-Barrier-method