175 Open source projects that are alternatives of or similar to Im2latex

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

seq2seq中文聊天机器人

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Implementation of State-of-the-art Text Classification Models in Pytorch

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

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

DeeCamp 2018，AI有嘻哈 自动写歌词

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Sequence to sequence learning using TensorFlow.

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

Neural conversational model in Torch

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

A model to transform english into Cypher queries, based off the CLEVR-graph dataset

Tutorials for TensorFlow APIs the official documentation doesn't cover

Sequence-to-Sequence learning using PyTorch

Pytorch NLP library based on FastAI

enhance seq2seq model for open ended dialog generation

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

[unmaintained]

Sequence-to-Sequence Framework in PyTorch

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

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

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

Sequence to sequence learning with MXNET

Multiple implementations for abstractive text summurization , using google colab

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

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

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

Pytorch seq2seq chatbot

Sequence to Sequence Models with PyTorch

Generating bash command from natural language https://arxiv.org/abs/1802.08979

Build conversation Seq2Seq models with TensorFlow

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

Play couplet with seq2seq model. 用深度学习对对联。

Pointer-generator reinforced seq2seq summarization in PyTorch

An implementation of RNNsearch using TensorFlow

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。

Tensorflow seq2seq Implementation of Text Summarization.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

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

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

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Links to the implementations of neural conversational models for different frameworks

Text summarization using seq2seq in Keras

Minimalist NMT for educational purposes

Basic Seq2Seq, Attention, CopyNet

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

End-to-end ASR/LM implementation with PyTorch

PyTorch Implementation of NBA game summary generator.

Sorting numbers with pointer networks

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

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com