Pinned Repositories
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
baidu
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Deep-Image-Matting-v2
Deep Image Matting implementation in PyTorch
deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepInterests
深度有趣
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
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
caoxiang123's Repositories
caoxiang123/TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
caoxiang123/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
caoxiang123/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
caoxiang123/baidu
caoxiang123/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
caoxiang123/Deep-Image-Matting-v2
Deep Image Matting implementation in PyTorch
caoxiang123/deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
caoxiang123/deep_learning_object_detection
A paper list of object detection using deep learning.
caoxiang123/DeepInterests
深度有趣
caoxiang123/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
caoxiang123/deeplearning.ai-notes
吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解
caoxiang123/deeplearning4j-issues
deeplearning4j常见问题集合
caoxiang123/EEG_Classification
Classification of EEG signals
caoxiang123/faceswap
Deepfakes Software For All
caoxiang123/gold-miner
🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：
caoxiang123/HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
caoxiang123/kilo_gram
caoxiang123/License-Plate-Recognition
License Plate Recognition For Car With Python And OpenCV
caoxiang123/mnist_web
caoxiang123/neural-style-tf
TensorFlow (Python API) implementation of Neural Style
caoxiang123/Neural-Style-Transfer-Papers
:pencil2: Neural Style Transfer: A Review
caoxiang123/notenote
caoxiang123/python_PlateRecogntion
python opencv 车牌识别
caoxiang123/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
caoxiang123/tensorflow-101
《TensorFlow 快速入门与实战》课件与参考代码
caoxiang123/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
caoxiang123/two-stream-dyntex-synth
Code for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.