chencodeX / Rnn_pytorch
Using the Pytorch to build an image temporal prediction model of the encoder-forecaster structure, ConvGRU kernel & ConvLSTM kernel
Stars: ✭ 83
Programming Languages
python
139335 projects - #7 most used programming language
Labels
Projects that are alternatives of or similar to Rnn pytorch
Rxffmpeg
🔥💥RxFFmpeg 是基于 ( FFmpeg 4.0 + X264 + mp3lame + fdk-aac + opencore-amr + openssl ) 编译的适用于 Android 平台的音视频编辑、视频剪辑的快速处理框架，包含以下功能：视频拼接，转码，压缩，裁剪，片头片尾，分离音视频，变速，添加静态贴纸和gif动态贴纸，添加字幕，添加滤镜，添加背景音乐，加速减速视频，倒放音视频，音频裁剪，变声，混音，图片合成视频，视频解码图片，抖音首页，视频播放器及支持 OpenSSL https 等主流特色功能
Stars: ✭ 3,358 (+3945.78%)
Mutual labels: encoder-decoder
Neuralmonkey
An open-source tool for sequence learning in NLP built on TensorFlow.
Stars: ✭ 400 (+381.93%)
Mutual labels: encoder-decoder
Sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+1092.77%)
Mutual labels: encoder-decoder
Slot filling and intent detection of slu
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
Stars: ✭ 298 (+259.04%)
Mutual labels: encoder-decoder
Tf Seq2seq
Sequence to sequence learning using TensorFlow.
Stars: ✭ 387 (+366.27%)
Mutual labels: encoder-decoder
Ffmpegandroid
最新版ffmpeg3.3-android，并通过CMake方式移植到Android中,并实现编解码，转码，推拉流，滤镜等各种功能
Stars: ✭ 526 (+533.73%)
Mutual labels: encoder-decoder
Textbox
TextBox is an open-source library for building text generation system.
Stars: ✭ 257 (+209.64%)
Mutual labels: encoder-decoder
Quick Screen Recorder
Lightweight desktop screen recorder for Windows.
Stars: ✭ 80 (-3.61%)
Mutual labels: encoder-decoder
Ffmpegcommand
FFmpegCommand适用于Android的FFmpeg命令库，实现了对音视频相关的处理，能够快速的处理音视频，大概功能包括：音视频剪切，音视频转码，音视频解码原始数据，音视频编码，视频转图片或gif，视频添加水印，多画面拼接，音频混音，视频亮度和对比度，音频淡入和淡出效果等
Stars: ✭ 394 (+374.7%)
Mutual labels: encoder-decoder
Deepchatmodels
Conversation models in TensorFlow. (website removed)
Stars: ✭ 312 (+275.9%)
Mutual labels: encoder-decoder
Bert Multitask Learning
BERT for Multitask Learning
Stars: ✭ 380 (+357.83%)
Mutual labels: encoder-decoder
Text Summarization Tensorflow
Tensorflow seq2seq Implementation of Text Summarization.
Stars: ✭ 527 (+534.94%)
Mutual labels: encoder-decoder
Multi Scale Attention
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Stars: ✭ 281 (+238.55%)
Mutual labels: encoder-decoder
Gec Pseudodata
Repository of "An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction" (EMNLP-IJCNLP 2019)
Stars: ✭ 49 (-40.96%)
Mutual labels: encoder-decoder
Encoder decoder
Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
Stars: ✭ 269 (+224.1%)
Mutual labels: encoder-decoder
Deeplearning.ai Natural Language Processing Specialization
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Stars: ✭ 473 (+469.88%)
Mutual labels: encoder-decoder
Deeplab v3 plus
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
Stars: ✭ 83 (+0%)
Mutual labels: encoder-decoder
Image captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Stars: ✭ 51 (-38.55%)
Mutual labels: encoder-decoder
Deep Visual Attention Prediction
Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.
Stars: ✭ 19 (-77.11%)
Mutual labels: encoder-decoder
RNN_Pytorch
使用pytorch框架搭建一个encoder-forecaster结构的图像时序预测模型，ConvGRU内核
##文件说明
BMSELoss.py 一个对不同降雨级别进行加权损失的loss函数。
ConvGRUCell.py 利用卷积操作实现的ConvGRU内核，单Cell
ConvLSTM.py 利用卷积操作实现的ConvLSTM内核，包含了单Cell，多层Cell的实现方式，以及一个实验用的RNN模型
encoder.py 序列编码结构
forecaster.py 序列预测结构
HKO_EF.py 尝试一个试验性质的训练方式
HKO_model.py HKO-7模型的搭建和训练
RNN.py 一般的RNN模型
RNN_train.py RNN模型的训练
##模型说明
本项目参考的HKO模型为论文 [Deep learning for precipitation nowcasting: A benchmark and a new model](http://papers.nips.cc/paper/7145-deep-learning-for-precipitation-nowcasting-a-benchmark-and-a-new-model)
encoder和forecaster 结构皆参照此论文编写
本文的数据样本原始大为20*1*477*477，训练过程中会缩放或随机切割到120*120大小。
原始数据为0-70之间的DBz值，在输入网络前已经映射到（0-255）/255.所以代码中的BMSELoss的阈值也经过了调整。
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].