GitHub - dshenker/ML2020FinalProject: Repository containing code for the Fall 2020 Final Project on expression recognition using CNN's

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Repository containing code for the Fall 2020 Final Project on expression recognition using CNN's

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
ApplyingToYaleData.ipynb		ApplyingToYaleData.ipynb
Final_Expression_CNN_with_Transfer_Learning.ipynb		Final_Expression_CNN_with_Transfer_Learning.ipynb
Final_Expression_Multitask_CNN.ipynb		Final_Expression_Multitask_CNN.ipynb
ML_2020Fall_FinalProject_Overview.ipynb		ML_2020Fall_FinalProject_Overview.ipynb
ML_Final_SVM_Details.ipynb		ML_Final_SVM_Details.ipynb
Machine_Learning_Final_DataProcessing.ipynb		Machine_Learning_Final_DataProcessing.ipynb
README		README

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This is the repository for our 2020 Final Project

Group members: Daniel Shenker, Arjun Somayazulu, Mitchell Pavlak, Cherlin Zhu

Notebooks:

ML_Final_SVM_Details: notebook detailing training and evaluation of our baseline SVM model.

Machine_Learning_Final_DataProcessing: code detailing loading in the original data, performing pre-processing, running dlib, and creating the data splits

ApplyingToYaleData: notebook where the models are applied to the Yale faces dataset.

Final-Expression CNN with Transfer Learning: notebook using transfer learning to train a CNN on the github expression dataset. Also contains code originally used to train a CNN from scratch.

Final-Expression Multitask CNN: notebook implementing multitask learning on top of transfer learning from ResNet18 on the github expression dataset.