Assignments and Projects done in summer elective on Neural Networks.
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Updated
Jul 18, 2016 - Yacc
Assignments and Projects done in summer elective on Neural Networks.
This is a dialogue-based computer game that utilizes the Player’s emotional state to affect the game’s flow of events and atmosphere.
This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.
BangkitEndpoint is an API reference. This repository uses the Flask Framework 2.0.1 and Python 3.8. This application can be run locally or online by deploying on the Cloud service, in the next section it is explained how to deploy this application on the Google Cloud Platform using the Cloud Run service. We configured this endpoint to be accessi…
Our end of year project
Face analysis script to read portraits and make predictions
Tensorflow Implementation of DeepEmotion for Facial Expression Recognition
Facial Expression Recognition using ResNet-18 in PyTorch. Trained and tested on RAFDB and FERPlus
Facial Expression Recognition using vision language models (VLMs)
This repository contains different CNNs trained for different FER databases.
Implementation notebooks and scripts of Logistic Regression Classification algorithm from scratch.
TensorFlow is used to build the Facial Expression Recognition (FER) model, which predicts human expression.
Image Classification: Feature Selection, Data Augmentation, and Transferred Learning through Nvidia GPU acceleration.
An academic research project for comparative analysis of deep learning models in facial emotion recognition.
Main repository for facial expression recognition CNNs construction project.
CNN (Convolutional neural network)-based facial expression recognition model (with pretrained weights) implemented with Pytorch
An emotion detection CNN-based model that can detect emotions from images in real-time
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
The project develops a facial emotion classifier using the k-Nearest Neighbors (kNN) algorithm. The classifier uses Histogram of Oriented Gradients (HOG) and Principal Component Analysis (PCA) for dimensionality reduction with usage of normalisaton, preprocessing and augmentation.
An Interactive Visualization system that visualizes emotions from facial expressions and speech
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