360 Open source projects that are alternatives of or similar to Rnn Nmt

Deep Learning

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

CNN Event Detection & RNN Phase Picking (in Tensorflow)

TensorFlow implemenation of GRu4Rec model

A cute multi-layer LSTM that can perform like a human 🎶

Multiple implementations for abstractive text summurization , using google colab

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

코딩셰프의 3분 딥러닝, 케라스맛

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

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A visualization tool for understanding and debugging RNNs

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Chinese Poetry Generation

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

Question-Answering NLP model with character-level RNN (TensorFlow).

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Recurrent neural network for audio noise reduction

2018“云移杯- 景区口碑评价分值预测

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Hand-gesture recognition on iOS app using CoreML

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

基于RNN生成古诗

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

1st place solution

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

A Tensorflow Implementation of R-net: Machine reading comprehension with self matching networks

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

Code for "Asynchronous bidirectional decoding for neural machine translation" (AAAI, 2018)

Word Embedding + LSTM + FC

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

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

Datasets, tools, and benchmarks for representation learning of code.

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Open Source Neural Machine Translation in PyTorch

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

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Python library for Reservoir Computing using Echo State Networks

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Deep Learning neural network for correcting spelling

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)