ExtonWolf

ExtonWolf's Stars

• MakiNaruto/Automatic_ticket_purchase

  大麦网抢票脚本

  Language:Python4.3k837

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.4k16.3k

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.8k8k

• yaoyi30/ResNet_Image_Classification_PyTorch

  This is a ResNet image classification training code

  Language:Python183

• anujshah1003/Transfer-Learning-in-keras---custom-data

  Implementing Transfer Learning for custom data using VGG-16 and Resnet-50

  Language:Python147102

• taki0112/ResNet-Tensorflow

  Simple Tensorflow implementation of pre-activation ResNet18, 34, 50, 101, 152

  Language:Python18157

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.4k2.4k

• longpeng2008/yousan.ai

  Awesome resources of yousan.ai(closely related to deep learning).

  Language:Python1.4k521

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python62.9k11k

• OdingdongO/pytorch_classification

  基于pytorch框架的classification万用模板

  Language:Python25699

• pohwa065/Surface-Defect-Image-Classification-with-Convolutional-Neural-Network

  The proposed idea is to use convolutional neural network (CNN) to classify defects on the semiconductor wafer substrate. There are total 7 classes to be classified. Data augmentation by Generative Adversarial Network (GAN) is applied on 2 of the classes to improve classification accuracy.

  Language:Python173

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.2k12.1k

• ZnsNgk/CNN_Course

  从零开始实现一个卷积神经网络

  Language:Python276

• siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection

  This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.

  Language:Jupyter Notebook8931

• seanXYZ/SegDecNet

  Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"

  Language:Python18953

• vicoslab/mixed-segdec-net-comind2021

  Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

  Language:Python29089

• AaronCosmos/wdcnn_bearning_fault_diagnosis

  wdcnn轴承故障模型

  Language:Python33595

• herbert-chen/tianchi_lvcai

  天池竞赛Baseline分享（2018广东工业智造大数据创新大赛——智能算法赛，线上0.921无调参）

  Language:Python25598

• ShuaiLYU/Deep-Learning-Approach-for-Surface-Defect-Detection

  A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

  Language:Python731258

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3.1k525

• roadwide/AI-Homework

  人工智能结课作业（A星八数码/广度优先/深度优先/粒子群寻优算法/遗传算法/蚁群算法/BP神经网络/卷积神经网络）

  Language:Python39681