Aditya Chetan's Projects
A one-stop, clean and minimal mobile-friendly Jekyll theme for your academic homepage
A repository of links with advice related to grad school applications, research, phd etc
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A beautiful Jekyll theme for academics
This is a multithreaded program to calculate the value at the nth row and kth column in Pascal's triangle
📚 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
A curated list of awesome Python frameworks, libraries, software and resources
A simple Roll-A-Ball game made on Unity, made for a hackathon
TensorFlow code and pre-trained models for BERT
Advanced C Refresher Module 2018
AP Project - Chain Reaction Game in Java
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Datasets, tools, and benchmarks for representation learning of code.
Coursework for 6.837, MIT's Computer Graphics course.
A Julia package for disciplined convex programming
Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter
A repository of my submissions at various Competitive Programming portals
Baby steps in C#
(Unofficial) PyTorch implementation for the paper "Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders" by Jha et. al. at ECCV 2018.
Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)
Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
[NeurIPS'23] Emergent Correspondence from Image Diffusion
CVPR'19 experiments with (on-manifold) adversarial examples.
Official implementation for "Distance Learner: Incorporating Manifold Prior to Model Training"
Various Dockerfiles I use on the desktop and on servers.
Dense Optical Tracking: Connecting the Dots
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.