averyma

averyma's Stars

• averyma/model-alignment

  [ECCV'24] Improving Adversarial Transferability via Model Alignment

  Language:Python8

• krishnadey30/LeetCode-Questions-CompanyWise

  Contains Company Wise Questions sorted based on Frequency and all time

  14.5k4.5k

• meta-llama/llama-cookbook

  Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

  Language:Jupyter Notebook16.5k2.4k

• averyma/opt-robust

  [TMLR] Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods.

  Language:Python22

• kentaroy47/vision-transformers-cifar10

  Let's train vision transformers (ViT) for cifar 10!

  Language:Python598118

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python22.1k3.2k

• SamsungLabs/SAGE

  Language:Python3

• averyma/adversarial-spheres

  Pytorch implementation of Adversarial Spheres.

  Language:Python9

• F-Salehi/CURE_robustness

  Implemented CURE algorithm from robustness via curvature regularization and vice versa

  Language:Python311

• BorealisAI/mma_training

  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

  Language:Python3411

• YisenWang/MART

  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

  Language:Python14615

• cg563/simple-blackbox-attack

  Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

  Language:Python19756

• nng555/cluster_examples

  Language:Shell206

• averyma/active-depth-from-defocus

  Monocular 3D Reconstruction via Active Depth from Defocus

  Language:Matlab114

• MadryLab/cifar10_challenge

  A challenge to explore adversarial robustness of neural networks on CIFAR10.

  Language:Python491133

• kuangliu/pytorch-cifar

  95.47% on CIFAR10 with PyTorch

  Language:Python6.1k2.2k

• bmsookim/wide-resnet.pytorch

  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

  Language:Python465131

• BorealisAI/advertorch

  A Toolbox for Adversarial Robustness Research

  Language:Jupyter Notebook1.3k198

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k864

• evaluating-adversarial-robustness/adv-eval-paper

  LaTeX source for the paper "On Evaluating Adversarial Robustness"

  Language:TeX25233

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.3k1.4k

• keras-team/keras

  Deep Learning for humans

  Language:Python62.7k19.5k

• jameslyons/python_speech_features

  This library provides common speech features for ASR including MFCCs and filterbank energies.

  Language:Python2.4k615

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python12.5k5.9k

• dunovank/jupyter-themes

  Custom Jupyter Notebook Themes

  Language:CSS9.8k1.1k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.6k14.9k

• vlfeat/matconvnet

  MatConvNet: CNNs for MATLAB

  Language:Cuda1.4k749

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++189k74.6k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.5k45.7k

• academicpages/academicpages.github.io

  Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

  Language:HTML13.6k46.2k