mzweilin

mzweilin's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51k3709.3k16.4k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.4k2507.1k3.4k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.9k9112.4k21.3k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.2k2271222.9k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.8k4828.3k8k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k343312.3k

• carla-simulator/carla

  Open-source simulator for autonomous driving research.

  Language:C++11.4k2475.6k3.7k

• daviddao/awful-ai

  😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

  7k30329233

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.9k988881.2k

• honkit/honkit

  :book: HonKit is building beautiful books using Markdown - Fork of GitBook

  Language:TypeScript3.1k34176225

• Stonesjtu/pytorch_memlab

  Profiling and inspecting memory in pytorch

  Language:Python1k123537

• anishathalye/obfuscated-gradients

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

  Language:Jupyter Notebook883480171

• MadryLab/mnist_challenge

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

  Language:Python7342817179

• qianguih/voxelnet

  This is an unofficial inplementation of VoxelNet in TensorFlow.

  Language:Python6552593241

• baidu/Curve

  An Integrated Experimental Platform for time series data anomaly detection.

  Language:JavaScript5304256134

• locuslab/convex_adversarial

  A method for training neural networks that are provably robust to adversarial attacks.

  Language:Python380163583

• openphilanthropy/unrestricted-adversarial-examples

  Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

  Language:Python329365255

• jonmagic/copy-excel-paste-markdown

  Copy a table in Excel (or other spreadsheet programs) and paste it as a Markdown table

  Language:JavaScript24998112

• ymirsky/KitNET-py

  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

  Language:Python23316874

• twosixlabs/armory

  ARMORY Adversarial Robustness Evaluation Test Bed

  Language:Python1761879267

• google-deepmind/interval-bound-propagation

  This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

  Language:Python15311732

• google-research/selfstudy-adversarial-robustness

  Language:Python12116423

• vtjeng/MIPVerify.jl

  Evaluating Robustness of Neural Networks with Mixed Integer Programming

  Language:Julia11343032

• guykatzz/ReluplexCav2017

  Language:C10111649

• carlini/nn_breaking_detection

  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."

  Language:Python849026

• tcwangshiqi-columbia/ReluVal

  The released code of ReluVal in USENIX Security 2018

  Language:C562525

• oval-group/PLNN-verification

  All code for the Piecewise Linear Neural Networks verification: A comparative study paper

  Language:Python34918

• MadryLab/relu_stable

  Language:Python26615

• IntelLabs/OSCAR

  Object Sensing and Cognition for Adversarial Robustness

  Language:Jupyter Notebook201501

• IntelLabs/MART

  Modular Adversarial Robustness Toolkit

  Language:Python174350