dennis-lynch Goto Github PK

adrenaline

An AI-powered debugger

advent-of-code

Yearly Advent of Code challenges https://adventofcode.com

apple-metal-sketch-dojo

Graphics and animations with the Apple Metal API

atiss

Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021

build-your-own-x

🤓 Build your own (insert technology here)

cuda-raytracer

Simple Port of Raytracing in One Weekend to CUDA

dataset_synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

dcai-course

Introduction to Data-Centric AI, MIT IAP 2023 🤖

google-photos-delete-tool

Tool for deleting all photos from the Google Photos

gpu-puzzles

Solve puzzles. Learn CUDA.

gpu-raytracer

GPU Raytracer from scratch in C++/CUDA

hierarchical_primitives

Code for "Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image", CVPR 2020

intro_continual_learning

This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

pbrt-v4

Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

pbrt-v4-scenes

Example scenes for pbrt-v4

privacybot

qoi

The “Quite OK Image Format” for fast, lossless image compression

rayt

Ray tracing implementation in three languages: C++, Python, Rust. I follow Peter Shirley's Ray Tracing trilogy.

raytrace_weekend_numpy

A python-numpy implementation of Ray Tracing in One Weekend

raytracing.github.io

Main Web Site (Online Books)

raytracinginoneweekend

The source for the ebook Ray Tracing in One Weekend by Peter Shirley. This work is in the public domain.

rose-object-intrinsics

(CVPR 2023) Seeing a Rose in Five Thousand Ways

seblague-ray-tracing

simdstring

Fast string implementation for graphics.

themlsbook

This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.

tungsten

High performance physically based renderer in C++11

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.