Arthur-Shi

a fresh programmer

Shanghai

Pinned Repositories

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翻墙才能下的东西
0 1 10
albumentations
fast image augmentation library and easy to use wrapper around other libraries
Language:Python0 1 00
awesome-python-cn
Python资源大全中文版，内容包括：Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等
0 1 00
Cascade-RCNN_Tensorflow
Language:Jupyter Notebook0 2 00
ChinaHadoop_C4
Language:Python0 1 00
ChinaHadoop_C5
Language:Python0 1 00
cifar10Dataset
Creat your own dataset with the similar format with CIFAR10 in python version.
Language:Python0 1 00
cs20si
cs20si learning note
Language:Jupyter Notebook0 1 00
CV
Language:HTML0 1 00
deep-residual-networks
Deep Residual Learning for Image Recognition
0 2 00

Arthur-Shi's Repositories

Arthur-Shi/-
翻墙才能下的东西
0 1 10
Arthur-Shi/albumentations
fast image augmentation library and easy to use wrapper around other libraries
Language:Python0 1 00
Arthur-Shi/Cascade-RCNN_Tensorflow
Language:Jupyter Notebook0 2 00
Arthur-Shi/ChinaHadoop_C4
Language:Python0 1 00
Arthur-Shi/ChinaHadoop_C5
Language:Python0 1 00
Arthur-Shi/cifar10Dataset
Creat your own dataset with the similar format with CIFAR10 in python version.
Language:Python0 1 00
Arthur-Shi/cs20si
cs20si learning note
Language:Jupyter Notebook0 1 00
Arthur-Shi/deep-residual-networks
Deep Residual Learning for Image Recognition
0 2 00
Arthur-Shi/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，近30万字。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:TeX1 0
Arthur-Shi/Faster-RCNN_Tensorflow
This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.
Language:Jupyter Notebook2 0
Arthur-Shi/Faster-RCNN_TF
Faster-RCNN in Tensorflow
Language:Python1 0
Arthur-Shi/FPN_Tensorflow
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
Language:Jupyter Notebook2 0
Arthur-Shi/keras-retinanet
Keras implementation of RetinaNet object detection.
Language:Python2 0
Arthur-Shi/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Language:Python2 0
Arthur-Shi/mixup-generator
An implementation of "mixup: Beyond Empirical Risk Minimization"
Language:Jupyter Notebook2 0
Arthur-Shi/mlu-exporter
Language:C1 0
Arthur-Shi/Models
Arthur-Shi/MXNet2Caffe
Convert MXNet model to Caffe model
Language:Python1 0
Arthur-Shi/mxnet2caffe-1
for mxnet model to caffe model
Language:Python1 0
Arthur-Shi/oneflow
OneFlow is a performance-centered and open-source deep learning framework.
Language:C++1 0
Arthur-Shi/PVANet-FACE
A face detection model based on PVANet
Language:Python1 0
Arthur-Shi/py-faster-rcnn
Language:Python2 0
Arthur-Shi/R-DFPN_FPN_Tensorflow
R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)
Language:Python1 0
Arthur-Shi/R2CNN_Faster-RCNN_Tensorflow
Rotational region detection based on Faster-RCNN.
Language:Python2 0
Arthur-Shi/R2CNN_HEAD_FPN_Tensorflow
Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network
Language:Python2 0
Arthur-Shi/README
README文件语法解读，即Github Flavored Markdown语法介绍
1 0
Arthur-Shi/RetinaNet_Tensorflow
Focal Loss for Dense Object Detection.
Language:Jupyter Notebook2 0
Arthur-Shi/tensorflow
Computation using data flow graphs for scalable machine learning
Language:C++
Arthur-Shi/tensorflow-vgg
VGG19 and VGG16 on Tensorflow
Language:Python1 0
Arthur-Shi/tvm
End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares
Language:C++1 0