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Rishabh Agrahari

Rishabh Agrahari

ABOUT ME
Someone who loves solving real life problems with code.
Someone who loves solving real life problems with code.

I am experienced in Python, I've worked on image classification, segmentation and object detection using Deep Learning. I've also worked on Django based web applications, JavaScript, HTML/CSS.

I love to solve real life problems with code. I believe that sharing is learning.

Hindi, English
New Delhi (+05:30)
Joined September 2017
EXPERTISE
Deep Learning
2 years experience
PyTorch, Keras, Tensorflow
PyTorch, Keras, Tensorflow
Obect detectionImage classificationImage Segmentation
Obect detectionImage classificationImage Segmentation
Web Development
2 years experience
Django, Angular4, JavaScript, HTML/CSS
Django, Angular4, JavaScript, HTML/CSS
SOCIAL PRESENCE
GitHub
code_for_fun
This repository contains my code scripts to automate boring stuffs around me.
Python
104
36
DenseNet-MURA-PyTorch
Implementation of DenseNet model on Standford's MURA dataset using PyTorch
Python
26
6
Stack Overflow
672 Reputation
1
8
15
Community Posts
Django Allauth Tutorial | Social logins
A tutorial on how to build a small Django website having features of Login with Facebook Login with Google Custom User model.
13
2
Django | User registration with Twillio
A django site with custom User model using Authy Phone Verification API for user registration and login.
3
1
EMPLOYMENTS
Deep Learning Intern
Predible Health
2018-02-01-2018-07-01
Worked on Lung Parenchyma Segmentation and detection of Malignant Pulmonary Nodules in CT Scans using Deep Learning.
Worked on Lung Parenchyma Segmentation and detection of Malignant Pulmonary Nodules in CT Scans using Deep Learning.
PyTorch
PyTorch
PROJECTS
DenseNet on MURA Dataset using PyTorchView Project
2018
A PyTorch implementation of 169 layer DenseNet model on MURA dataset. MURA is a large dataset of musculoskeletal radiographs, where each ...
A PyTorch implementation of 169 layer DenseNet model on MURA dataset. MURA is a large dataset of musculoskeletal radiographs, where each study is manually labeled by radiologists as either normal or abnormal
Deep Learning
PyTorch
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Deep Learning
PyTorch
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Automatic study notes classifierView Project
2018
Trained a model to classify images which were study notes from whatsapp image directory on my phone using Deep Convolutional Neural Netwo...
Trained a model to classify images which were study notes from whatsapp image directory on my phone using Deep Convolutional Neural Networks in Keras.
Keras
Image classification
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Keras
Image classification
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