M

machine-learning

A full-stack web application designed to bridge the gap between complex mathematical expressions and clean, compilable LaTeX code. This project leverages Machine Learning (Hugging Face models) to take raw text or messy equations and transform them into optimized, industry-standard LaTeX.

The system features a ReactJS frontend for real-time editing and a Python/Flask backend. To keep the deployment lightweight and free-tier friendly (Render/Railway), the project utilizes an External API Proxy Pattern for PDF generation, eliminating the need for a 2GB+ local TeX distribution.

BrotServer é um projeto de Modern Data Stack on‑premise que integra hardware de nível empresarial (Dell PowerEdge T440) e a plataforma open source Cloud Brots para desenvolvimento, ciência de dados, BI, IA e ensino. O repositório versiona o livro técnico oficial, que documenta a arquitetura, os padrões de Ops (GitOps, DataOps, ModelOps, ResearchOps, AIOps), os componentes principais (Kubernetes/RKE2, Longhorn, Traefik, MinIO, PostgreSQL, Superset, Moodle, Ollama, etc.) e as boas práticas de operação, com foco em soberania de dados, reprodutibilidade científica e uso de uma única porta de acesso.

Early-stage open-source web service for discovering song lyrics and automatic translation using ML.

Moodle Plugin repository for recommending courses based on machine learning predicting, and a dashboard to monitor courses and users. Made by Diva Alfiah as a thesis project.

Fast Flexible Replay Buffer Library

Training the system with binary classification to classify cookies as correctly oriented or flipped Topics: #algorithm #image-2d #machine-learning #sample #sick-appspace

Training a set of cereal types and classifying a test set. Topics: #algorithm #image-2d #machine-learning #sample #sick-appspace

Loading a trained neural network and running predictions on locally saved images. Topics: #algorithm #image-2d #machine-learning #sample #sick-appspace

Example showing the use of a pretrained classification network together with an EdgeMatcher to inspect multiple image regions. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace #edgematcher #locator #matching

Example showing the use of a pretrained classification network. See also the available tutorials on the SICK support portal. Topics: #algorithm #image-2d #machine-learning #deep-learning #neural-network #sample #sick-appspace

Syetem to predict taxi fare in bhutan

It contains all my projects I made in the past 2 years, including smaller programs and bigger applications, from backend to frontend, mainly coded in Java and Python.

An Active Learning framework for Drug Discovery with the ability to create targeted models for particular experiments

Python course for programmers with a focus on features needed for machine learning