Shantanu Acharya (@shan18)
  • Stars
    star
    128
  • Global Rank 172,858 (Top 6 %)
  • Followers 69
  • Following 27
  • Registered over 9 years ago
  • Most used languages
    Python
    76.5 %
    C
    11.8 %
    JavaScript
    11.8 %
  • Location 🇮🇳 India
  • Country Total Rank 5,619
  • Country Ranking
    Python
    1,008
    C
    2,647
    JavaScript
    4,159

Top repositories

1

Kart

An E-commerce website built using Django.
Python
24
star
2

Flash

Create, train and deploy AI models without writing code
JavaScript
20
star
3

Python-Automation-Scripts

Python scripts to automate some tasks
Python
14
star
4

Perceiver-Resampler-XAttn-Captioning

Generating Captions via Perceiver-Resampler Cross-Attention Networks
Python
14
star
5

Stock-Bridge

An online stock market simulator built using Django.
Python
13
star
6

Depth-Estimation-Segmentation

Model for Monocular Depth Estimation and Image Segmentation
Python
12
star
7

TensorNet

A high-level deep learning library built on top of PyTorch.
Python
7
star
8

Topic-Based-Image-Captioning

Caption generation from images using topics as additional guiding inputs.
Python
4
star
9

EVA4

Deep Learning Projects in TSAI - Extensive Vision AI 4
Python
3
star
10

Autoranking-Amazon-Reviews

Ranking the reviews on amazon according to their helpfulness
Python
3
star
11

MODEST-Museum-Dataset

MOnocular Depth Estimation and SegmenTation (MODEST) Museum Dataset
Python
3
star
12

Computer-Vision-with-OpenCV

Basic computer vision tasks using openCV
Python
2
star
13

FAT32-File-Recovery

A simple file recovery tool for FAT32 filesystems
C
2
star
14

CapsNet-COCO

Capsule Networks on MSCOCO 2017 dataset
Python
2
star
15

shan18.github.io

My personal website built on top of beautiful-jekyll
JavaScript
2
star
16

Simple-Shell

A simplified version of the Unix shell.
C
1
star
17

dgplugproblems

This repository contains all the problem given in dgplug's summer training sessions.
1
star
18

Multi-Feature-Hypertension-Detector

Detecting hypertension from IHR and biometric data using CNNs and LSTMs
Python
1
star