arjunarao619

arjunarao619's Stars

• RcppCore/Rcpp

  Seamless R and C++ Integration

  Language:C++745213

• epfml/powergossip

  Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"

  Language:Python151

• google-research/selfstudy-adversarial-robustness

  Language:Python11823

• google-research/sam

  Language:Python57172

• wkiri/DEMUD

  Discovery via Eigenbasis Modeling of Uninteresting Data

  Language:Python4416

• nikcheerla/neuralhash

  :cyclone: building the next-gen watermark with deep learning.

  Language:Python18225

• srQ-cpc/D-PSGD

  Algorithm: Decentralized Parallel Stochastic Gradient Descent

  Language:Python415

• microsoft/unadversarial

  Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"

  Language:Python10317

• epfml/ChocoSGD

  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356

  Language:Python6517

• wronnyhuang/gen-viz

  Code for the paper "Understanding Generalization through Visualizations"

  Language:Python607

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook918182

• anishathalye/gemini

  Gemini is a modern LaTex beamerposter theme 🖼

  Language:TeX1k229

• prclibo/kitti_eval

  Language:C++14043

• khalibartan/simplex-method

  A python implementation for simplex method

  Language:Python5217

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k400

• Guneet-Dhillon/Stochastic-Activation-Pruning

  Language:Jupyter Notebook196

• a1600012888/YOPO-You-Only-Propagate-Once

  Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle

  Language:Python17530

• ashafahi/inceptionv3-transferLearn-poison

  Attacking a dog vs fish classification that uses transfer learning inceptionV3

  Language:Python6820

• anishathalye/obfuscated-gradients

  Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

  Language:Jupyter Notebook883171

• uber-research/normative-uncertainty

  Language:Python152

• amkatrutsa/liboptpy

  Implementation of various optimization methods

  Language:Python6518

• mxochicale/learning-latex-action

  :pencil2: Learning to use latex-actions :octocat:

  Language:TeX23

• LongguangWang/attention-cnn

  Source code for "On the Relationship between Self-Attention and Convolutional Layers"

  3

• davechristian/Simple-SSD-Stereo

  Simple sum of squared differences (SSD) stereo matching Python script.

  Language:Python5220

• zhoubolei/cnnvisualizer

  Visualizer for Deep Neural Networks

  Language:C29471

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.3k300

• XinyiYing/SAM

  Repository for "A Stereo Attention Module for Stereo Image Super-Resolution ", SPL, 2020

  Language:Python478

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.9k1.5k

• sylvainhalle/textidote

  Spelling, grammar and style checking on LaTeX documents

  Language:Java94369

• val-iisc/GD-UAP

  Generalized Data-free Universal Adversarial Perturbations

  Language:Python6914