Shreyas Mocherla's Projects
Config files for my GitHub profile.
Extracting details of products from Amazon. This code prompts the user for a product name and creates a CSV file with all details related to the product.
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
All assignments and solutions I curated during the course
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
First assignment for CS 3800: Introduction to Operating Systems. A simulation for the Five State Processing model programmed in C++.
Fork of the original project from Pickhacks 2023. Will be contributing whenever I get the time.
The Hugging Face course on Transformers
An implementation of Keras using OpenCL.
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
The repo contains the Jupyter Notebook that fine-tunes the BLIP2 model on the NYT dataset.
Implementation of a pre-trained VGG16 model on Keras using OpenCL.
A phonebook in Python, utilising File I/O and SQLite for database.
This code enables you to visualise the dataset of the total vaccinations taken in each country. The CSV file was downloaded from the official WHO website, however the data is not real-time. You must download the csv file again and paste its path under the '.read_csv()' function to visualise the latest data. I used bar graph to visualise the data for easy reference and viewing accessbility.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent