572 Open source projects that are alternatives of or similar to Pytorch Seq2seq

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Translating English to Yoda English using Sequence-to-Sequence with Tensorflow.

Multi-class confusion matrix library in Python

Jupyter notebook series for machine learning and deep learning.

Action recognition using soft attention based deep recurrent neural networks

No description or website provided.

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

An open-source Python package for making computer vision and image processing simpler

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Simple keras chat bot using seq2seq model with Flask serving web

Simple PyTorch Tutorials Zero to ALL!

A minimal nmt example to serve as an seq2seq+attention reference.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Calculate Flops for CNN

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

Type4Py: Deep Similarity Learning-Based Type Inference for Python

Deep sentence embedding using Sequence to Sequence learning

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Deep leraning cryptocurrency prediction with blockchain-based dataset

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

No dependency caffe replacement

Implementation of key concepts of neuralnetwork via numpy

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

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

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

Implementation of Quickdraw - an online game developed by Google

This repository contains a new adversarial training method for Generative Conversational Agents

This repository contains a new generative model of chatbot based on seq2seq modeling.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

An implement of google deep dream with tensorflow

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

pytorch realtime multi person keypoint estimation

A repository to curate and summarise research papers related to fashion and e-commerce

No description or website provided.

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

CycleGAN based neural network architecture to change the gender of a person’s face

AI開発プラットフォームKAMONOHASHI

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

Pointer-generator reinforced seq2seq summarization in PyTorch

Recognition of Sign Language using Capsule Networks

Sequence to sequence learning with MXNET

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

capsule networks that achieves outstanding performance on the German traffic sign dataset

基于Andrew Ng DeepLearning.ai课程的学习笔记

learn code with tensorflow

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

PyTorch Tutorial (1.7)

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇