Jay Gopal (JayRGopal)

JayRGopal

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serre-lab
brownplme

Jay Gopal's repositories

FaceEmotionDetection

Real-time facial emotion detection from video input

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cs32-mock

mock-typescript from Brown's CSCI 0320

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DLGenomicsProject

Project for CSCI 2952G: Deep Learning in Genomics

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CLPS1492_FinalProject

Final Project for CLPS 1492 for Fall 2023. Group members: Jeremy Fleming and Jay Gopal

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ME-GraphAU

[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code

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mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

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yolo_tracking

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

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LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

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open_dbm

Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.

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ViewFool_

This repository contains the ViewFool and ImageNet-V proposed by the paper “ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints” (NeurIPS2022).

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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.

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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?

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HSEmotion

Efficient face emotion recognition in photos and videos

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clickme_video

Implementing video clickme to create explainable 3D computer vision models

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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.

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JayRGopal.github.io

A personal website with a couple of details about me

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GlaucomaAI

Automated diagnosis of glaucoma using machine learning

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Explainable-Deep-Learning-Regularizer

A more interpretable way to regularize convolutional neural networks (CNNs) during training

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Rapid-Visual-Categorization

System to run video classification experiments with Amazon's Mechanical Turk using Python Flask.

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GANalyze

The authors' official implementation of GANalyze, a framework for studying cognitive properties such as memorability, aesthetics, and emotional valence using genenerative models.

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CRAFT-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

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