JayRGopal
Computer Science & Neuroscience at Brown University. Experienced in software engineering and deep learning. Researching computer vision and explainable AI.
Pinned Repositories
AdversarialClustering
Clustering the image embeddings from the latent space of a masked autoencoder to visualize how learned features separate classes, and as a proxy for accuracy.
clickme_video
Implementing video clickme to create explainable 3D computer vision models
CLPS1492_FinalProject
Final Project for CLPS 1492 for Fall 2023. Group members: Jeremy Fleming and Jay Gopal
CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
cs32-mock
mock-typescript from Brown's CSCI 0320
DLGenomicsProject
Project for CSCI 2952G: Deep Learning in Genomics
Explainable-Deep-Learning-Regularizer
A more interpretable way to regularize convolutional neural networks (CNNs) during training
FaceEmotionDetection
Real-time facial emotion detection from video input
GlaucomaAI
Automated diagnosis of glaucoma using machine learning
Quantum-Error-Correction
Quantum Error Correction (QEC) is a critical step in implementing quantum computing at scale. We implement an algorithm and show it successfully reduces noise in various quantum circuits.
JayRGopal's Repositories
JayRGopal/Explainable-Deep-Learning-Regularizer
A more interpretable way to regularize convolutional neural networks (CNNs) during training
JayRGopal/DLGenomicsProject
Project for CSCI 2952G: Deep Learning in Genomics
JayRGopal/GlaucomaAI
Automated diagnosis of glaucoma using machine learning
JayRGopal/Quantum-Error-Correction
Quantum Error Correction (QEC) is a critical step in implementing quantum computing at scale. We implement an algorithm and show it successfully reduces noise in various quantum circuits.
JayRGopal/AdversarialClustering
Clustering the image embeddings from the latent space of a masked autoencoder to visualize how learned features separate classes, and as a proxy for accuracy.
JayRGopal/clickme_video
Implementing video clickme to create explainable 3D computer vision models
JayRGopal/CLPS1492_FinalProject
Final Project for CLPS 1492 for Fall 2023. Group members: Jeremy Fleming and Jay Gopal
JayRGopal/CRAFT-pytorch
Official implementation of Character Region Awareness for Text Detection (CRAFT)
JayRGopal/cs32-mock
mock-typescript from Brown's CSCI 0320
JayRGopal/FaceEmotionDetection
Real-time facial emotion detection from video input
JayRGopal/GANalyze
The authors' official implementation of GANalyze, a framework for studying cognitive properties such as memorability, aesthetics, and emotional valence using genenerative models.
JayRGopal/HSEmotion
Efficient face emotion recognition in photos and videos
JayRGopal/importmpcr
JayRGopal/JayRGopal
JayRGopal/JayRGopal.github.io
A personal website with a couple of details about me
JayRGopal/jspsych-react-example
JayRGopal/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
JayRGopal/ME-GraphAU
[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code
JayRGopal/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
JayRGopal/open_dbm
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
JayRGopal/Rapid-Visual-Categorization
System to run video classification experiments with Amazon's Mechanical Turk using Python Flask.
JayRGopal/RL-Parameter-Recovery
A behavioral decision making task and computational modeling to distinguish human discount factors. How much does a given participant devalue future reward?
JayRGopal/ViewFool_
This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).
JayRGopal/yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models