zxp555

zxp555's Stars

• afatcoder/LeetcodeTop

  汇总各大互联网公司容易考察的高频leetcode题🔥

  18.7k292642.7k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.4k457503.7k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k622272.8k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1141061.5k

• amusi/AI-Job-Notes

  AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

  5.2k13110639

• Trusted-AI/adversarial-robustness-toolbox

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

  Language:Python4.8k988851.2k

• nosuggest/Reflection_Summary

  算法理论基础知识应知应会

  2.6k883510

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19146350

• WongKinYiu/PyTorch_YOLOv4

  PyTorch implementation of YOLOv4

  Language:Python1.9k32431587

• WarBean/tps_stn_pytorch

  PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

  Language:Python9282718155

• shangtse/robust-physical-attack

  Physical adversarial attack for fooling the Faster R-CNN object detector

  Language:Jupyter Notebook15671249

• idrl-lab/Adversarial-Attacks-on-Object-Detectors-Paperlist

  A Paperlist of Adversarial Attack on Object Detection

  113217

• idrl-lab/Full-coverage-camouflage-adversarial-attack

  https://idrl-lab.github.io/Full-coverage-camouflage-adversarial-attack/

  Language:Python4431410

• roboflow/pytorch-YOLOv4

  Minimal PyTorch implementation of YOLOv4

  Language:Python343056

• WhoTHU/Adversarial_camou

  Language:Python24192

• Cater5009/Traffic-sign-recognition

  使用PCA、NMF和HOG特征，分别配以KNN（k=1,3,5）和SVM两类分类器，实现对交通标志的分类（包括对其余类的拒识）

  Language:Matlab226

• jennalau/feature-vis-yolov3

  Feature visualization tool for YOLOv3, a real-time objection detection algorithm using a deep convolutional network with a Darknet backbone. Visualizes performance attributes via saliency maps to identify how features in the input pixel space influence our network’s predictions in terms of classification and localization

  Language:Python177

• winterwindwang/neural_renderer

  A PyTorch port of the Neural 3D Mesh Renderer

  Language:Python10003

• rajak7/RL_kirigami

  Deep Reinforcement Learning Assisted Kirigami Design of 2D Material

  Language:Python8203

• wizut-cvlab/pedestrian_detector

  Detect pedestrians in infrared by Haar Features Cascades. As a ground truth we use tracking manual marked subjects

  Language:Python2210

• zxp555/THU_TIR-dataset

  1100