Name: Devshree Patel
Type: User
Company: Arizona State University
Bio: Incoming MLE Intern (Summer'22) @Intuit | Computer Science Graduate @ASU | Graduate Student Researcher @ASU | Passionate towards ML, CV and DL
Twitter: devshree577
Location: Tempe, Arizona, United States
Blog: https://www.linkedin.com/in/devshree-patel/
Devshree Patel's Projects
450- DSA Questions 🔥🔥
Algorithms for Big Data.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Curating a list of AutoML-related research, tools, projects and other resources
This repository consists of our implementation of different machine learning models on SQuAD dataset along with a state-of-the-art model BERT.
Caffe: a fast open framework for deep learning.
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Repository for the demo of CSE573 for ASU
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Deterministic And Stochastic Models For Zika Virus Transmission
It is an online game where you virtually select the team mates and score points depending on how your chosen players perform in matches.
Internet Radio using Multicast
Interview questions
Flask app implementing Shadow Detection/Removal, Pose Estimation and VQA.
my leetcode solutions
Implemented 16-bit MIPS Pipelined Processor in Verilog-HDL on Xilinx Platform. The processor can perform 28 different operations. The operations were successfully executed using an FPGA.
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Molecular Communications-Model based and Data-driven Receiver Design
Building MySQL query using natural language processing
Real time object detection using pretrained mobile net SSD model in caffe
Online Food Delivery System using DataBase concepts
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Principal Component Analysis of a 32x32 grayscale image for image compression