Cogitarian's repositories
google-mediapipe-ntu
Google MediaPipe Face + Hands + Body + Object
speech-to-text
Example transcribing audio file (speech) to text with Google Cloud Speech API and Python
CleanCoach
Promise based Clean Language Coach in javascript
DyadSync
an R package for Interpersonal Physiology analysis
EMU-webApp
The EMU-webApp is an online and offline web application for labeling, visualizing and correcting speech and derived speech data.
facial-expression-recognition
The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training
FERPlus
This is the FER+ new label annotations for the Emotion FER dataset.
jabref
Graphical Java application for managing BibTeX and biblatex (.bib) databases
macadmin-scripts
Scripts of possible interest to macOS admins
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
opensauce-python
Voice analysis software (Python port of VoiceSauce)
pympi
A python module for processing ELAN and Praat annotation files
PYMPI-ELAN
Some scripts for elan files analysis.
rasa-masterclass
Data and code files for specific Rasa Masterclass episodes
reconhecimento-expressao-facial-debate
Código para a matéria que analisa as expressões faciais dos candidatos à Presidência de 2018 durante o debate realizado na TV Gazeta // Code for the story that analyzes the facial expressions of the 2018 presidential candidates during a live TV debate
rezonateR
rezonateR (say "resonate R") uses R to analyze data created by Rezonator
rMEA
an R package to perform synchronization analysis on motion energy time-series
semiotic
A data visualization framework combining React & D3
spacyr
:exclamation: This is a read-only mirror of the CRAN R package repository. spacyr — Wrapper to the 'spaCy' 'NLP' Library. Homepage: https://spacyr.quanteda.io Report bugs for this package: https://github.com/quanteda/spacyr/issues
video-splitter
Simple Python script to split video into equal length chunks or chunks of equal size, duration, etc.