6690 Open source projects that are alternatives of or similar to Rnn For Joint Nlu

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

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。

My Attempt(s) In The World Of ML/DL....

All my experiments with AI and ML

PyTorch tutorial for learners

Enhanced BiLSTM Inference Model for Natural Language Inference

Bangla Machine Translator

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Hierarchical Attention Networks for Chinese Sentiment Classification

Natural Language Processing with TensorFlow, published by Packt

CNN, LSTM, NBOW, fasttext 中文文本分类

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

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Keras tutorial for beginners (using TF backend)

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

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

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Stock Price Prediction using Machine Learning Techniques

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Image captioning using attention models

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

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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.

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

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

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

A neural network that transforms a design mock-up into a static website.

Multiple implementations for abstractive text summurization , using google colab

All about Neural Networks!

Chinese Poetry Generation

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Sentiment Analysis with LSTMs in Tensorflow

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Detecting emotions using MFCC features of human speech using Deep Learning

Models and Pipelines for the Spark NLP library

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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

Char-level RNN LSTM text generator📄.

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

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

Machine learning, in numpy

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Word Embedding + LSTM + FC

LSTM and GRU in PyTorch

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

BertQA - Attention on Steroids

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Attention-based multimodal fusion for sentiment analysis

document classification using LSTM + self attention

The deeplearning algorithms implemented by tensorflow

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games