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

TensorFlow Tutorial for Time Series Prediction

language model in Chinese，基于Pytorch官方文档实现

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

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Tensorflow implementation of attention mechanism for text classification tasks.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Generating Dance steps for given music with deep learning

Some interesting TensorFlow tutorials for beginners.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

List of papers, code and experiments using deep learning for time series forecasting

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Predict Cryptocurrency Price with Deep Learning

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Attention-based multimodal fusion for sentiment analysis

keras를 이용한 딥러닝 기초 학습

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

copper price(time series) prediction using bpnn and lstm

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Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

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A Tensorfflow implementation of Attend, Infer, Repeat

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

论文“Attention-over-Attention Neural Networks for Reading Comprehension”中AoA模型实现

Application of machine learning to the Coinbase (GDAX) orderbook

Natural Language Processing Tutorial for Deep Learning Researchers

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Neural Turing Machines (NTM) - PyTorch Implementation

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

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

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

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

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

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Models and Pipelines for the Spark NLP library

Char-level RNN LSTM text generator📄.

Machine learning, in numpy

The deeplearning algorithms implemented by tensorflow

Word Embedding + LSTM + FC

使用PyTorch实现Char RNN生成古诗和周杰伦的歌词

LSTM and GRU in PyTorch

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

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

1st place solution

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BertQA - Attention on Steroids

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

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

基于RNN生成古诗

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android