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Name: Aditya Ganeshan
Type: User
Bio: PhD Student, Brown University. Graphics + AI
Twitter: SoRaptorPhilo
Location: Providence, RI
Name: Aditya Ganeshan
Type: User
Bio: PhD Student, Brown University. Graphics + AI
Twitter: SoRaptorPhilo
Location: Providence, RI
Short Summaries for papers in Adversarial Attacks and Defenses. Linked to a related blog post:
Branching Bootstrapped Abstraction Discovery
Codebase for Improving Unsupervised Visual Program Inference with Code Rewriting Families (ICCV 2023)
Evaluation of various defence mechanisms and various UAPs. Done as a part of GD-UAP.
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Research publications in Computer Vision Journals and Conferences (and arxiv) using RL.Visit Website:
Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5b7SNrbLUfdLVo5-WK5mLJh
This is the code for the simulation of finite difference solution of Stochastic Burger's equation in matlab.
Code for creating the flying furniture dataset. Used for The Flying Furniture Challenge, an in-class kaggle competition.
GeoLIPI: DSL for Implicit Geometric Modelling
A simple implementation of the multi_arm_bandit problem which can be used in Open AI gym as well.
Project for CSCI 2951I
CSCI 1710 project
A Python package for making excalidraw figures procedurally from python.
Pytorch implementation of Deeplab Large-FOV
Code to Render a model using Blender with depth map, and projecting 3D keypoints to 2D render.
Semantic Segmentation Metrics Functions on pytorch.[Currently for PASCAL VOC 2012, easily expandable]
Code Related to "Per-Pixel Feedback for improving Semantic Segmentation", My dissertation submission.
A unified program to check predictions of different convolutional neural networks for image classification.
A Simple implementation of Sequence modelling through recurrent networks.
Pytorch implementation of Universal Adverserial Perturbation and Fast Feature Fool
Starter Kit for using Marching Primitives for the Visual Shape Inference Challenge
An extension of yacs with additional functionalities.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.