encoder-decoder

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Simple Binary Encoding (SBE) - High Performance Message Codec

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

🔥🔥🔥自定义Android相机(仿抖音 TikTok)，其中功能包括视频人脸识别贴纸，美颜，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.

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

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

Convert images of LaTex math equations into LaTex code.

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

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

Tensorflow seq2seq Implementation of Text Summarization.

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

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

BERT for Multitask Learning

Multiple implementations for abstractive text summurization , using google colab

Declarative binary reading and writing: bit-level, symmetric, serialization/deserialization

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

Sequence to sequence learning using TensorFlow.

TextBox is an open-source library for building text generation system.

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

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

Decode All Bases - Base Scheme Decoder

Conversation models in TensorFlow. (website removed)

Penetration Testing and Hacking CTF's Swiss Army Knife with: Reverse Shell Handling - Encoding/Decoding - Encryption/Decryption - Cracking Hashes / Hashing

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

A fast Go Avro codec

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

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

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