Name: Krishna Kaushik
Type: User
Company: IIT Guwahati, India
Bio: Aspiring Software Engineer | DL-AI enthusiast | IITG'22
Twitter: Kkk11Krishna
Location: Hyderabad, India
Blog: https://krishnakaushik25.github.io/
Krishna Kaushik's Projects
Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.
πLeetcode solutions in Python π
This is a repository containing the list of company wise questions available on leetcode premium
Three different Projects were built using Javascript(mostly for logic), HTML, and CSS(for styling)
In this deep learning project, similar images are found(lookalikes) using deep learning and locality-sensitive hashing to find customers most likely to click on an ad.
5 crucial object-oriented design principles
Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.
Various ML/DL Resources are organized in a single place.
Social Media Application USing MERNG
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
List of ML hackathons I participated
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
The Ultimate FREE Machine Learning Study Plan
Content-Based Movie Recommender System on Streamlit
Movielens dataset analysis for movie recommendations using Spark in Azure
Application of the BERT model for text classification
Everything about my learning in Kaggle
Data engineering project: Constructing a pipeline
Streamlit WEB app for Category classification, for news - multi-label text classification problem.
Streamlit application that does Natural language processing tasks such as Text Summarization. Sentiment Analysis and Named Entity Recognition (NER)
Jupyter notebooks for the Natural Language Processing with Transformers book
detailed notes on computer science topics, in one page
Othello game GUI with alpha-beta pruning
Papers discussed in the meetings of IITG.ai with summaries and resources.