Markdown Editor Pro — A powerful, feature-rich markdown editor with live preview, LaTeX math support, GitHub-inspired styling, and seamless integration into React apps. Built with React, TypeScript…

DT78 Smartwatch Reverse Engineering

Python ROS2 pointcloud retriever for IWR6843AOPEVM mmWave device

Multilingual Voice Understanding Model

[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages

Depression Detection is a speech-based classifier that analyzes emotional and acoustic features to detect depression.

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

This paper has been accepted for publication in The 11th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition.

Emotions recognition from audio and text files (only russian language)

Respository for Open-Science modular microscope system.

Code to reproduce the analyses of (...)

Conditional Analysis with LD Matrix.

PolyFun (POLYgenic FUNctionally-informed fine-mapping)

Automatic extraction of numerical data from a free IR spectra database via integration with WebPlotDigitizer.

A Raman spectral search library for biological molecules identification, over a database of 140 components, including lipids, proteins, carbohydrates, amino acids, metabolites, nucleic acids, pigme…

PyFasma is a free and open source Python package for preprocessing and analyzing Raman spectra

RamanLab is a comprehensive desktop application for analyzing and identifying Raman spectra. It provides a user-friendly interface for importing, processing, and matching Raman spectra against a da…

Python code to identify and calculate decomposition of materials using Raman spectroscopy

Application for Raman Spectroscopy Analysis

This repository includes the code of the Neural Networks proposed in the the paper "Mol2Raman: a graph neural network model for predicting Raman spectra from SMILES representations"

Simulation and real data analysis code for the cisMR-cML paper

Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra

RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis

Here we apply deep learning approaches to accurately identify 30 common bacterial pathogens, reaching an average isolate-level accuracy exceeding 78%, and an antibiotic treatment identification acc…

We apply deep learning approaches to accurately identify 30 common bacterial pathogens, achieving an average isolate-level accuracy of over 78% and an antibiotic treatment identification accuracy o…