Suraj Sharma (@strikersps)
github

strikersps

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  • Stars
    star
    109
  • Global Rank 195,484 (Top 7 %)
  • Followers 44
  • Following 77
  • Registered over 6 years ago
  • Most used languages
    Jupyter Notebook
         60.0 %
    Python
         30.0 %
    C
         10.0 %
  • Location 🇮🇳 India
  • Country Total Rank 6,932
  • Country Ranking
    C
         130
    Jupyter Notebook
         1,159

Top repositories

1

Competitive-Programming

The repository consists of accepted solutions to the problems in competitive programming websites like SPOJ, CSES, UVa Online Judge, Google Kickstart, Google Code-Jam, CodeChef, CodeForces, HackerRank, HackerEarth, etc in C/C++ and Python.
C
66
star
2

Brain-MRI-Image-Classification-Using-Deep-Learning

Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.
Jupyter Notebook
27
star
3

COVID-19-Impact-On-Indian-Stock-Market

This repository provides an approach towards data analysis and visualization of financial dataset which is used to gauge the impact of COVID-19 on Indian Stock Market mainly on benchmark indices i.e. NSE NIFTY-50 and S&P BSE SENSEX.
Jupyter Notebook
4
star
4

Object-Detection-Using-TensorFlow

The repository contains the code-base for the project named Object Detection Using Tensorflow and relevant details.
Python
2
star
5

Cholera-Disease-Analysis

The repository shows the data analysis of Cholera disease which is killing people for last two centuries using R programming language.
Jupyter Notebook
2
star
6

strikersps

1
star
7

strikersps-github-stats

Python
1
star
8

Data-Augmentation-For-Brain-Tumor-Segmentation-Using-MONAI-Framework

This repository consists of the source-code for developing an efficient data augmentation pipeline using MONAI framework for BraTS-2020 dataset
Jupyter Notebook
1
star
9

Exploratory-Data-Analysis

This repository consists of all the EDA's which I have performed on some interesting datasets in order to tell the story hidden in the dataset.
Jupyter Notebook
1
star
10

JIRA-REST-Client

The repository contains the code-base for the project named JIRA REST Client Development and the relevant details.
Python
1
star
11

Forecasting-India-and-USA-Benchmark-Indices-Using-ARIMA-and-Prophet

This repository provides a novel approach about how can we use the ARIMA time series model and a suite of models provided by Prophet library (open-sourced by Facebook) to forecast financial time series data i.e. S&P BSE SENSEX and S&P-500.
Jupyter Notebook
1
star