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.
Our end of year project
Facial Expression Recognition using ResNet-18 in PyTorch. Trained and tested on RAFDB and FERPlus
Facial Expression Recognition using vision language models (VLMs)
Some machine learning applications
Implementation notebooks and scripts of Logistic Regression Classification algorithm from scratch.
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.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
An emotion detection CNN-based model that can detect emotions from images in real-time
Bonus Project on Adversarial Machine Learning.
Here is the implementation of a Facial Expression recognition in Python with Keras API.
Train EfficientNetV2 models for Facial Expression Recognition task
Real time facial emotion recognition using TensorFlow, Keras, OpenCV and Fine-Tuned MobileNetV2 using Transfer Learning
Welcome to the AI Pet repository! This project aims to create a virtual pet powered by AI technologies. The pet can detect its owner using facenet_pytorch, detect the owner's emotions with deepface, and communicate with the owner using dialoGPT.
Flask app to detect and classify user's emotion, age, gender using convolutional neural networks
The human facial expression recognition consists of seven states which are angry, disgust, fear, happy, neutral, sad and surprise by CNN.
A deep learning project for Facial Expression Recognition using CNN.
Learn facial expressions from an image.
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