Neeraj Kumar Cheryala (@neeraj1397)
github

neeraj1397

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  • Stars
    star
    55
  • Global Rank 318,261 (Top 11 %)
  • Followers 10
  • Following 2
  • Registered over 5 years ago
  • Most used languages
    C++
         28.6 %
    Jupyter Notebook
         28.6 %
    Python
         14.3 %
    Verilog     14.3 %
    C
         14.3 %
  • Location 🇮🇳 India
  • Country Total Rank 12,657
  • Country Ranking
    Verilog     84
    C
         1,235
    C++
         2,883
    Jupyter Notebook
         4,526

Top repositories

1

Physical-Design-With-OpenLANE-and-SKY130

This repository contains all the information studied and created during the [Advanced Physical Design Using OpenLANE / SKY130](https://www.vlsisystemdesign.com/advanced-physical-design-using-openlane-sky130/) workshop.
16
star
2

Performance-Analysis-of-Parallel-Prefix-Adders-Using-Zynq-7000-APSoC

Performed a comparative study of Parallel Prefix Adders using Verilog HDL on Zynq-7000 APSoC (PL) from XIlinx. Circuits are simulated, synthesized and implemented using Vivado Design Suite.
Verilog
8
star
3

Fast-Fourier-Transform-in-C

This repository contains the C code for ARM Implementation of FFT on Zynq-7000 APSoC from Xilinx.
C
7
star
4

A-Primer-For-Physical-Design-Automation

This repository contains python code snippets that implement several algorithms for automating the VLSI Physical Design process. This is based on the learnings from the course - EE5333W (Introduction to Physical Design Automation) at IITM.
Jupyter Notebook
5
star
5

A-Novel-Approach-To-Secure-IPv6-SLAAC-And-DAD

Developed an alternative approach to SeND protocol for securing IPv6 SLAAC and DAD. The repo contains the code for address generation at sender side and the DAD process at both sender and receiver.
C++
4
star
6

Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.
Jupyter Notebook
3
star
7

End-To-End-Data-Transfer-Using-ESP8266-and-ThingSpeak-

This is a beginner friendly IoT project which uses ThingSpeak cloud platform to collect and analyze sensor data. Based on the obtained sensor data, we actuate other IoT devices.
C++
2
star
8

COMMUNICATION-MODULE

A module should be designed that takes analog inputs from sensors, Ethernet commands from PLC and produces required outputs in the form of TTL logic for former input and serial output for latter input. The proposed solution is realized using Raspberry Pis as central parts of module which is equipped with other peripherals to behave as a complete working module. The module is intended to be used in submarines to communicate between PLCs and antennas and also drive large relays in response to sensor data.
Python
1
star