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Search results for natural language processing recurrent neural networks
natural-language-processing
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recurrent-neural-networks
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47 search results found
Ailearning
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37,934
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Ai For Beginners
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30,191
12 Weeks, 24 Lessons, AI for All!
Deeplearning
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7,463
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Tensorflow_cookbook
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6,085
Code for Tensorflow Machine Learning Cookbook
Tensorflow 2.x Tutorials
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5,496
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
Practical Pytorch
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4,272
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Pytorch Sentiment Analysis
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4,133
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Zhihu
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3,228
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Awesome Deeplearning
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2,670
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Deepnlp Models Pytorch
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2,372
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Codesearchnet
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2,054
Datasets, tools, and benchmarks for representation learning of code.
Sru
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2,012
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Spago
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1,691
Self-contained Machine Learning and Natural Language Processing library in Go
Text_classification
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1,621
Text Classification Algorithms: A Survey
Eda_nlp
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1,405
Data augmentation for NLP, presented at EMNLP 2019
Tech_aarticle
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1,028
主要是我是日常看过的不错的文章的资源汇总,方便自己也分享给大家。有些我看过的,就会做简单的解读,没看
Textbox
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966
TextBox 2.0 is a text generation library with pre-trained language models
Pytorchtext
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959
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
Nlp_overview
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958
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
Seq2seq Chatbot
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826
Chatbot in 200 lines of code using TensorLayer
Bolt
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823
Bolt is a deep learning library with high performance and heterogeneous flexibility.
Tensorflow Tutorial
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751
TensorFlow and Deep Learning Tutorials
Keras Attention
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656
Visualizing RNNs using the attention mechanism
Cs224n
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647
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Cs224n Learning Camp
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596
Ner Lstm
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528
Named Entity Recognition using multilayered bidirectional LSTM
Headlines
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506
Automatically generate headlines to short articles
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Nlp_thai_resources
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316
More than 50+ collections of Thai Natural Language Processing libraries. Update daily.
Text_summurization_abstractive_methods
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310
Multiple implementations for abstractive text summurization , using google colab
Text Classification Models Pytorch
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309
Implementation of State-of-the-art Text Classification Models in Pytorch
Attention Mechanisms
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294
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Komputation
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292
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Recurrent Entity Networks
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280
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
Rnnsharp
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272
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.
Deep Learning Specialization Coursera
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266
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
Natural Language Processing With Tensorflow
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264
Natural Language Processing with TensorFlow, published by Packt
Mead Baseline
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245
Deep-Learning Model Exploration and Development for NLP
Tensorflow Ml Nlp Tf2
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245
텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료
Pytorch Batch Attention Seq2seq
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215
PyTorch implementation of batched bi-RNN encoder and attention-decoder.
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Chinese Poetry Generation
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195
An RNN-based Chinese Poem Generator
Doc Han Att
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193
Hierarchical Attention Networks for Chinese Sentiment Classification
Pytorch Sentiment Neuron
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171
Chars2vec
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157
Character-based word embeddings model based on RNN for handling real world texts
Chinese Text Classification Pytorch
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156
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,Text DPCNN, Transformer,Bert,ERNIE),开箱即用!
Awesome Text Classification
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144
Awesome-Text-Classification Projects,Papers,Tutorial .
Rnn_lstm_from_scratch
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142
How to build RNNs and LSTMs from scratch with NumPy.
Nlp De Cero A Cien
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135
Curso práctico: NLP de cero a cien 🤗
A Hierarchical Latent Structure For Variational Conversation Modeling
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134
PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)
Deeplearning
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128
Deep Learning introduction and its application in various fields
Deep Lyrics
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123
Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
Pytorch Pos Tagging
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109
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Ai Nlp Paper Readings
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107
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
Pytorch
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104
PyTorch tutorials A to Z
Machine_learning
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98
机器学习、深度学习、NLP实战项目
Simplednn
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95
SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
Anuvada
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94
Interpretable Models for NLP using PyTorch
Ml Dl Tutorial
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91
Machine Learning /DL Tutorial
Deep Learning
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90
Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
Ai Paper Drawer
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88
人工智能论文关键点集结。This project aims to collect key points of AI papers.
Pytorch Edit Distance
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85
Levenshtein edit-distance on PyTorch and CUDA
Nlp Interview Notes
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84
📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料
Practical Open
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83
Oxford Deep NLP 2017 course - Open practical
100 Days Of Nlp
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83
Machinelearningwithpython
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79
Get started with Machine Learning with Python - An introduction with Python programming examples
Translit Rnn
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78
Automatic transliteration with LSTM
Nlp Materials Share
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75
自然语言处理NLP(自然语言生成NLG、自然语言理解NLU)、自然语言学术会议大盘点、自然语言大佬介
Practical 3
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75
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Lstm Text Generation
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70
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
Pytorch Seq2seq Example
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69
Fully batched seq2seq example based on practical-pytorch, and more extra features.
Aika
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68
AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network
Tensorlm
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62
📝 Wrapper library for text generation / language models at char and word level with RNN in TensorFlow
Chicksexer
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60
A Python package for gender classification.
Shakkelha
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59
Neural Arabic text diacritization
Keras Utility Layer Collection
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59
Collection of custom layers and utility functions for Keras which are missing in the main framework.
Char Rnn Tensorflow
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58
Multi-layer Recurrent Neural Networks for character-level language models implements by TensorFlow
Joint Lstm Parser
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57
Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
Comparemodels_trecqa
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55
Compare six baseline deep learning models on TrecQA
How To Train Your Neural Net
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55
Deep learning research implemented on notebooks using PyTorch.
Text_generate
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54
文本生成,可用于作诗、写小说
Natural Language Processing
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48
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
Chatbot
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47
Pytorch Generative ChatBot (Dialog System) based on RNN, Transformer, Bert and GPT2
Topic Rnn
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47
Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
Tan Division
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46
Chinese corpus sentiment analysis. 谭松波酒店评论中文文本情感分析
Chinese Relation Extraction
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45
Relation Extraction 中文关系提取
Sangita
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43
A Natural Language Toolkit for Indian Languages
Pytorch Ner
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42
Pipeline for training NER models using PyTorch.
Predicting Myers Briggs Type Indicator With Recurrent Neural Networks
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41
Entailment Neural Attention Lstm Tf
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40
(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.
Image_captioning
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40
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Rnn From Scratch
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38
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
Reading_comprehension_tf
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36
Machine Reading Comprehension in Tensorflow
Keras Rnn Notebooks
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35
Python notebooks that demonstrate simple RNN models for NLP tasks using Keras
Nlp Stock Prediction
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34
Roadmap_nlp
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34
Roadmap for NLP 涵盖NLP的理论知识、应用场景和工程实践等
Lstm Rnn Vad
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34
Voice Activity Detection LSTM-RNN learning model
Nlp Uncertainty Zoo
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32
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
Snowselect
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32
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1-47 of 47 search results
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