This is journal noting down the topics I had to cover through my deep dive into D3D11. Rendering Triangles through rasterization: Knowledge about the rendering pipeline process where triangles are converted into pixels on the screen by the graphics processing unit (GPU) through a technique called rasterization. Model loading with normals: How to load 3D models into the graphics memory of the GPU and incorporate normal vectors for lighting calculations....
My understanding from Ray Tracing in One Weekend.
My understanding from Ray Tracing: The Next Week.
A pathtracing course project.
“NIPS Papers Analysis” Description- Discovering the hottest topics in machine learning by analysing NIPS papers using NLP libraries in python. Github Link - SiddharthChillale/NIPS-papers-analyses “Risk and Returns: The Sharpe Ratio” Description - Studying Sharpe ratio for understanding Risk and Return for Amazon and Facebook stocks through the Fiscal Year 2016. Kaggle Link - siddalore/sharpe-ratio-study “Courier Management system” Description - Built a courier managements system web application in Flask and database hosted with SQLite, Handled the Model and View of the app with database implementation....
Ay ! I developed a COVID-19 dashboard.