🔥自定义Android相机(仿抖音 TikTok)，其中功能包括视频人脸识别贴纸，分段录制，视频裁剪，视频帧处理，获取视频关键帧，视频旋转，添加滤镜，添加水印，合成Gif到视频，文字转视频，图片转视频，音视频合成，音频变声处理，SoundTouch，Fmod音频处理。 Android camera(imitation Tik Tok), which includes video editor,audio editor,video face recognition stickers, segment recording,video cropping, video frame processing, get the first video frame, key frame, video rotation, add filter Mirror ,add watermark ,add gif to video, add text to video, picture to video, audio and video synthesis, audio change processing, SoundTouch, Fmod audio processing.

editor opengl video camera media encode decode filters sticker effect encoder-decoder muxer tiktok

Updated Jul 7, 2020
Java

sgrvinod / a-PyTorch-Tutorial-to-Image-Captioning

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Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

computer-vision pytorch image-captioning show-attend-and-tell attention-mechanism encoder-decoder pytorch-tutorial mscoco

Updated Aug 3, 2020
Python

awslabs / sockeye

Star

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

machine-learning deep-neural-networks translation deep-learning mxnet machine-translation transformer seq2seq neural-machine-translation sequence-to-sequence gluon attention-mechanism encoder-decoder attention-model sequence-to-sequence-models attention-alignment-visualization attention-is-all-you-need sockeye transformer-architecture transformer-network

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Python

WangShuo1143368701 / FFmpegAndroid

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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

video ffmpeg ffmpeg-android encoder-decoder

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dongjun-Lee / text-summarization-tensorflow

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Tensorflow seq2seq Implementation of Text Summarization.

tensorflow text-summarization seq2seq encoder-decoder

Updated Nov 19, 2018
Python

ufal / neuralmonkey

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An open-source tool for sequence learning in NLP built on TensorFlow.

python nlp deep-learning tensorflow gpu machine-translation neural-networks image-captioning neural-machine-translation sequence-to-sequence mt nmt encoder-decoder

Updated Apr 28, 2020
Python

jayparks / tf-seq2seq

Star

Sequence to sequence learning using TensorFlow.

nlp machine-learning natural-language-processing deep-learning neural-network tensorflow seq2seq beam-search neural-machine-translation sequence-to-sequence nmt natural-language-understanding encoder-decoder

Updated Apr 16, 2018
Python

ijelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

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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

nlp machine-learning deep-learning naive-bayes coursera neural-networks logistic-regression attention-mechanism neural specialization probabilistic-models encoder-decoder sequence-models deeplearning-ai

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Jupyter Notebook

JayYip / bert-multitask-learning

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BERT for Multitask Learning

nlp text-classification transformer named-entity-recognition pretrained-models part-of-speech ner word-segmentation bert cws encoder-decoder multi-task-learning multitask-learning

Updated Oct 29, 2020
Python

theamrzaki / text_summurization_abstractive_methods

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Multiple implementations for abstractive text summurization , using google colab

nlp machine-learning reinforcement-learning ai deep-learning tensorflow word2vec artificial-intelligence policy-gradient rnn text-summarization seq2seq machinelearning deeplearning encoder-decoder abstractive-text-summarization google-colab pointer-generator google-colaboratory

Updated Oct 6, 2020
Jupyter Notebook

mckinziebrandon / DeepChatModels

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Conversation models in TensorFlow. (website removed)

flask tensorflow chatbot tensorboard sequence-to-sequence googlecloud appengine-python encoder-decoder conversation-models

Updated Oct 2, 2020
Python

AnJoiner / FFmpegCommand

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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

android ffmpeg mp4 encoder decoder media gif fdk-aac pthread encoder-decoder capture-video lamemp3 jni-android libx264 h264-decoder yuv420 h264-encoder ffmpegcommand

Updated Sep 7, 2020
Java

sz128 / slot_filling_and_intent_detection_of_SLU

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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

crf named-entity-recognition spoken-language sequence-labeling slot-filling encoder-decoder intent-detection atis-dataset bert-bilstm-crf snips-dataset xlnet

Updated Oct 19, 2020
Python

jacoxu / encoder_decoder

Star

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

seq2seq attention encoder-decoder encoder-decoder-modes

Updated Jun 20, 2017
Python

thomasschmied / Speech_Recognition_with_Tensorflow

Star

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

python nlp machine-learning deep-learning tensorflow speech-recognition seq2seq speech-to-text sequence-to-sequence encoder-decoder listen-attend-and-spell

Updated Jun 20, 2018
Jupyter Notebook

sinAshish / Multi-Scale-Attention

Star

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

deep-learning pytorch attention-mechanism encoder-decoder biomedical-image-analysis

Updated May 16, 2020
Python

thomasschmied / Text_Summarization_with_Tensorflow

Star

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

python nlp machine-learning natural-language-processing deep-learning neural-network tensorflow text-summarization summarization seq2seq sequence-to-sequence encoder-decoder text-summarizer

Updated May 16, 2018
Jupyter Notebook

DSKSD / RNN-for-Joint-NLU

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Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

nlu intent lstm rnn attention slot-filling encoder-decoder task-oriented-dialogue

Updated Sep 18, 2017
Jupyter Notebook

hengluchang / deep-news-summarization

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News summarization using sequence to sequence model with attention in TensorFlow.

deep-learning tensorflow recurrent-neural-networks lstm seq2seq tensorflow-models encoder-decoder news-summarization gigaword

Updated Apr 4, 2018
Python

mufeedvh / basecrack

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Decode All Bases - Base Scheme Decoder

Updated Oct 28, 2020
Python

JRC1995 / Abstractive-Summarization

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Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

nlp deep-learning tensorflow lstm attention-mechanism encoder-decoder abstractive-text-summarization local-attention

Updated Dec 30, 2019
Jupyter Notebook

wasidennis / DeepHarmonization

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Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017

computer-vision deep-learning image-editing computational-photography encoder-decoder

Updated Jan 28, 2020
Python

hamba / avro

Star

A fast Go Avro codec

golang avro encoder-decoder avro-codec

Updated Oct 31, 2020
Go

songdejia / DeepLab_v3_plus

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This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

pytorch semantic-segmentation encoder-decoder deeplab xception deeplab-v3-plus pascal-voc2012 dilated-convolution

Updated Nov 23, 2018
Python

sharksforarms / deku

Star

Open

Implement missing contextual items to have a better compile time error message

sharksforarms commented Oct 19, 2020

i.e.

For,

 Diagnostics:
 1. the trait bound `std::vec::Vec<u8>: deku::DekuRead<deku::ctx::BitSize>` is not satisfied
 the following implementations were found:
   <std::vec::Vec<T> as deku::DekuRead<(deku::ctx::Count, Ctx)>>
   <std::vec::Vec<T> as deku::DekuRead<deku::ctx::Count>>
 required by `deku::DekuRead::read`

The error message is

 Diagnostics:
 1. the

Read from a std::io `Read` + `Seek` and output to a `Write`

Open

Pointer: jump to position, parse/write struct, and come back

4

Find more good first issues →

encoder-decoder

Here are 342 public repositories matching this topic...

emilwallner / Screenshot-to-code

microshow / RxFFmpeg

接入RxFFmpeg的APP方便可以留下联系方式，APP名称+应用商店下载地址，（按登记顺序排序)，谢谢。

real-logic / simple-binary-encoding

GeorgeSeif / Semantic-Segmentation-Suite

bentrevett / pytorch-seq2seq

aserbao / AndroidCamera

sgrvinod / a-PyTorch-Tutorial-to-Image-Captioning

awslabs / sockeye

WangShuo1143368701 / FFmpegAndroid

dongjun-Lee / text-summarization-tensorflow

ufal / neuralmonkey

jayparks / tf-seq2seq

ijelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

JayYip / bert-multitask-learning

theamrzaki / text_summurization_abstractive_methods

mckinziebrandon / DeepChatModels

AnJoiner / FFmpegCommand

sz128 / slot_filling_and_intent_detection_of_SLU

jacoxu / encoder_decoder

thomasschmied / Speech_Recognition_with_Tensorflow

sinAshish / Multi-Scale-Attention

thomasschmied / Text_Summarization_with_Tensorflow

DSKSD / RNN-for-Joint-NLU

hengluchang / deep-news-summarization

mufeedvh / basecrack

JRC1995 / Abstractive-Summarization

wasidennis / DeepHarmonization

hamba / avro

songdejia / DeepLab_v3_plus

sharksforarms / deku

Implement missing contextual items to have a better compile time error message

Read from a std::io `Read` + `Seek` and output to a `Write`

Pointer: jump to position, parse/write struct, and come back

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encoder-decoder

Here are 342 public repositories matching this topic...

emilwallner / Screenshot-to-code

microshow / RxFFmpeg

接入RxFFmpeg的APP方便可以留下联系方式，APP名称+应用商店下载地址，（按登记顺序排序)，谢谢。

real-logic / simple-binary-encoding

GeorgeSeif / Semantic-Segmentation-Suite

bentrevett / pytorch-seq2seq

aserbao / AndroidCamera

sgrvinod / a-PyTorch-Tutorial-to-Image-Captioning

awslabs / sockeye

WangShuo1143368701 / FFmpegAndroid

dongjun-Lee / text-summarization-tensorflow

ufal / neuralmonkey

jayparks / tf-seq2seq

ijelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

JayYip / bert-multitask-learning

theamrzaki / text_summurization_abstractive_methods

mckinziebrandon / DeepChatModels

AnJoiner / FFmpegCommand

sz128 / slot_filling_and_intent_detection_of_SLU

jacoxu / encoder_decoder

thomasschmied / Speech_Recognition_with_Tensorflow

sinAshish / Multi-Scale-Attention

thomasschmied / Text_Summarization_with_Tensorflow

DSKSD / RNN-for-Joint-NLU

hengluchang / deep-news-summarization

mufeedvh / basecrack

JRC1995 / Abstractive-Summarization

wasidennis / DeepHarmonization

hamba / avro

songdejia / DeepLab_v3_plus

sharksforarms / deku

Implement missing contextual items to have a better compile time error message

Read from a std::io `Read` + `Seek` and output to a `Write`

Pointer: jump to position, parse/write struct, and come back

Improve this page

Add this topic to your repo

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