6206 Open source projects that are alternatives of or similar to Rnn For Joint Nlu

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

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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

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。

Sequence-to-Sequence Framework in PyTorch

DELTA is a deep learning based natural language and speech processing platform.

1st place solution

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Models and Pipelines for the Spark NLP library

Chinese Poetry Generation

Explains nlp building blocks in a simple manner.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

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

Natural Language Processing with TensorFlow, published by Packt

Tutorials for TensorFlow APIs the official documentation doesn't cover

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

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

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

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

Multiple implementations for abstractive text summurization , using google colab

Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings

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

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

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

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

Sparse Variational Dropout, ICML 2017

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Simple chat program that communicates using inaudible sounds

一些爬虫和数据分析相关实战练习

Pretrained bag-of-local-features neural networks

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Tutorial Materials for ICCV19

Style Transfer as Optimal Transport

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

A Deep Learning project to Toon Portrait Images

Released assignments for the Stanford's CS131 course on Computer Vision.

Notebooks and examples on how to onboard and use various features of Amazon Personalize

Stock Trading Bot using Deep Q-Learning

Tutorial on GANs

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Master in Data Science Final Project

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

A simple tool for generating useful evaluation metrics and plots for machine learning models

A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

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RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

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Tutorial: Natural Language Processing in Python