629 Open source projects that are alternatives of or similar to Sequence To Sequence 101

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

Pytorch seq2seq chatbot

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.

An implementation of attention-based neural machine translation using Pytorch

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

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

DELTA is a deep learning based natural language and speech processing platform.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

No description or website provided.

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

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

An implementation of RNNsearch using TensorFlow

Neural machine translation implementation using dynet's python bindings

Translating English sentences to Marathi using Neural Machine Translation

Sequence to sequence learning using TensorFlow.

End-to-end ASR/LM implementation with PyTorch

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

Build conversation Seq2Seq models with TensorFlow

Question answering system developed using seq2seq and memory network model in Keras

📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials

List of Elixir books

A Development Center for the ZeroNet. Tutorials on ZeroNet Zite Development, Collaboration, and Questions

Sequence to sequence learning with MXNET

Learn OpenCL step by step.

Automatic Feature Generation for Website Fingerprinting

A curated list of awesome android things tutorials, libraries and much more at one place

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

DeeCamp 2018，AI有嘻哈 自动写歌词

Documentation about using JavaScript with Haxe

Presentation, pro tips, and tools for dashboarding like a boss: https://maloriejhughes.github.io/Dashboarding-Tutorial/

Repository to help you get started with computer vision

Various Basic Data Structures and Algorithms Implement in Javascript

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

Completed assignments and coding challenges from the Lambda School Data Science program.

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack

Recursos de Haskell

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Sorting numbers with pointer networks

Miscellaneous articles. The readme is the table of contents.

Tutorials for learning OpenCV in Python from Scratch

A repository containing Workshop Slides, Problem Sets and Solution for Competitive Programming at McGill's Division 2 training in the 2018-2019 academic year.

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

那些年，我爬过的北科。一个由浅入深的定向爬虫教程。

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

Neural conversational model in Torch

Source code examples for "API without Secrets: Introduction to Vulkan" tutorial

Open-Source Neural Machine Translation in Tensorflow

Implementing Siamese networks with a contrastive loss for similarity learning