https://github.com/hanxiao/bert-as-service
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
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。
从github上转移过来的项目，源地址是https://github.com/tensorflow/docs-l10n.git，主要是为了缓解网速慢得问题。
pytorch-CycleGAN-and-pix2pix from https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git
Python - 100天从新手到大师
List of papers, code and experiments using deep learning for time series forecasting
对原TensorFlow版本算法进行了网络修改，显示调整，数据处理等细节优化，训练了Visdrone2019无人机数据集, 详细说明了 从本地训练到serving端部署YOLOv3的整个流程, 准确率 86%左右！FPS在1080上测试15-20帧左右！
A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network
