429 Open source projects that are alternatives of or similar to Augmented_seq2seq

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

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

Sequence-to-Sequence learning using PyTorch

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

Another piece of your extended mind

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

Deliver experiences best suited to a user's device and network constraints

Pointer-generator reinforced seq2seq summarization in PyTorch

Neural conversational model in Torch

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。

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

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

In-memory filesystem with Node's API

Android performance test

Hardened allocator designed for modern systems. It has integration into Android's Bionic libc and can be used externally with musl and glibc as a dynamic library for use on other Linux-based platforms. It will gain more portability / integration over time.

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

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

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

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

A Python memory profiler for data processing and scientific computing applications

https://arxiv.org/abs/1707.00836

The Schema-Guided Dialogue Dataset

Hypervisor Memory Introspection Core Library

Links to the implementations of neural conversational models for different frameworks

Sequence to Sequence Models with PyTorch

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

[unmaintained]

A list of recent papers regarding dialogue generation

STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.

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

End-to-end ASR/LM implementation with PyTorch

Basic Seq2Seq, Attention, CopyNet

This repo contains implementation of different architectures for emotion recognition in conversations.

Constant-complexity deterministic memory allocator (heap) for hard real-time high-integrity embedded systems

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

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

Memory usage for macos, an alternative to free command.

Implementation of seq2seq word-level model using keras

Sequence to sequence learning using TensorFlow.

Dump and analyze .Net applications memory ( a gui for WinDbg and ClrMd )

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

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

collect the open dialog corpus and some useful data processing utils.

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

bare bone Hierarchial Temporal Memory

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

A rust library that allows you to read/write into the memory of other processes

Read and write process memory in Node.js (Windows API functions exposed via Node bindings)

🐏 A webpack plugin for blazing fast builds on a RAM disk / drive

Cross-platform async library for system information fetching 🦀

An AI chatbot using seq2seq

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

💪 Simulate iOS on-device memory warnings like a hero.

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

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

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

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

JavaScript Performance Monitor using canvas

serialize native Nim types to strings, streams, or sockets ⛄

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.