cq70605

cq70605's Stars

• spytensor/prepare_detection_dataset

  convert dataset to coco/voc format

  Language:Python1.1k356

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python5k1k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.9k9.5k

• yhangf/ML-NOTE

  :orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

  668137

• jackfrued/Python-100-Days

  Python - 100天从新手到大师

  Language:Python159k52.7k

• ruotianluo/pytorch-faster-rcnn

  pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

  Language:Jupyter Notebook1.8k474

• chenyuntc/simple-faster-rcnn-pytorch

  A simplified implemention of Faster R-CNN that replicate performance from origin paper

  Language:Jupyter Notebook4k1.1k

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k2.8k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.5k5.4k

• WenfeiGe/xuelang_AI

  初赛73/2403，复赛22/2403，所有代码+介绍

  Language:Python72

• jkjung-avt/keras-cats-dogs-tutorial

  A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.

  Language:Jupyter Notebook8343

• ShawnyXiao/TextClassification-Keras

  Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

  Language:Python816187

• stevewyl/keras_text_classification

  implement some fancy text classification models by using keras

  Language:Python9747

• jasonwei20/eda_nlp

  Data augmentation for NLP, presented at EMNLP 2019

  Language:Python1.6k316

• norybaby/sentiment_analysis_textcnn

  基于tensorflow 实现的用textcnn方法做情感分析的项目，有数据，可以直接跑。

  Language:Python347131

• XqFeng-Josie/TextCNN

  CNN 实现文本分类

  Language:Python18058

• sfzhang15/RefineDet

  Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

  Language:C++1.4k390

• JonathanCMitchell/mobilenet_v2_keras

  Language:Python9344

• gogozhu/GuangDong_Defect_Detection

  This repository maintains some matrial for Tianchi Guangdong aluminum's defect detection competition 2018. Our solutions ranked the 3rd place in the final round.

  123

• 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

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k15.9k

• hszhao/PSANet

  PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

  Language:C++21837

• XingangPan/IBN-Net

  Instance-Batch Normalization Networks (ECCV2018)

  Language:Python800112

• lightfate/XueLang-YOLOhasst

  雪浪制造AI挑战赛—视觉计算辅助良品检测 test_a 952 test_b 953

  Language:Jupyter Notebook5723

• effectivelbc/CV_Match

  Language:Jupyter Notebook162

• bobo0810/XueLangTianchi

  雪浪制造AI挑战赛—视觉计算辅助良品检测

  Language:Python9938

• cq70605/darknet

  Convolutional Neural Networks

  Language:C1

• Root-lee/Put_Flavors_SA

  2018 Huawei Software Elite Challenge, using simulated annealing algorithm + first-fit algorithm to find the optimal method for placing virtual machines.

  Language:C++23453