Robust-Lane-Detection-in-hazy-environment-using-Encoder-Decoder-CNN-LSTM-DCP

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Video Predicting using ConvLSTM and pytorch

TianChi AIEarth Contest Solution

GAN based ConvLSTM in precipitation prediction (Trial Version)

Images timeseries sequence with ConvLSTM for windspeed prediction & CNN cyclone intensity

Re-colorize and enhance color fundus images. Image Enhancement Toolkit for Retinal Fundus Images (IETK-Ret).

In this repository, we focus on video frame prediction the task of predicting future frames given a set of past frames. We present an Adversarial Spatio-Temporal Convolutional LSTM architecture to predict the future frames of the Moving MNIST Dataset. We evaluate the model on long-term future frame prediction and its performance of the model on out-of-domain inputs by providing sequences on which the model was not trained.

Robust Single Sample Face Recognition by Sparsity-Driven Sub-Dictionary Learning Using Deep Features