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46 search results found

Topdeeplearning ⭐ 4,901

A list of popular github projects related to deep learning

D2l Pytorch ⭐ 3,933

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Papers ⭐ 2,239

Summaries of machine learning papers

Ios_ml ⭐ 1,406

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Search Index ⭐ 1,354

A persistent, network resilient, full text search library for the browser and Node.js

One Pixel Attack Keras ⭐ 1,078

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Nlp Paper ⭐ 1,070

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和Py

Nlp_overview ⭐ 958

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Gnn4nlp Papers ⭐ 824

A list of recent papers about Graph Neural Network methods applied in NLP areas.

Memn2n Tensorflow ⭐ 820

"End-To-End Memory Networks" in Tensorflow

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Awesome_deep_learning_interpretability ⭐ 699

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Gnns For Nlp ⭐ 619

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

Dynet_tutorial_examples ⭐ 424

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

Hierarchical Attention Networks ⭐ 396

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Awesome Gcn ⭐ 377

resources for graph convolutional networks （图卷积神经网络相关资源）

Natural Language Processing ⭐ 336

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

Dynamic Memory Networks In Theano ⭐ 332

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

Language sentiment analysis and neural networks... for trolls.

Text Classification Models Pytorch ⭐ 309

Implementation of State-of-the-art Text Classification Models in Pytorch

Recurrent Entity Networks ⭐ 280

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

Rnnsharp ⭐ 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.

Textnets ⭐ 270

Text analysis with networks.

Dmn Tensorflow ⭐ 235

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

Graph Convolution Nlp ⭐ 200

Graph Convolution Network for NLP

Hntitlenator ⭐ 185

Test your HN title against a neural network

Deep Survey Text Classification ⭐ 177

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

Multihead Siamese Nets ⭐ 173

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

Improved Dynamic Memory Networks Dmn Plus ⭐ 162

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Webml Polyfill ⭐ 153

Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfi

Java Deep Learning Cookbook ⭐ 150

Code for Java Deep Learning Cookbook

Deeplearning_nlp ⭐ 149

基于深度学习的自然语言处理库

Awesome Text Classification ⭐ 144

Awesome-Text-Classification Projects,Papers,Tutorial .

Rnn_lstm_from_scratch ⭐ 142

How to build RNNs and LSTMs from scratch with NumPy.

Twitter Sentiment Cnn ⭐ 133

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

Deep Lyrics ⭐ 123

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

Chainer_examples ⭐ 118

Example usages of Chainer for natural language processing.

Hierarchical Attention Network ⭐ 117

Implementation of Hierarchical Attention Networks in PyTorch

Metaknowledge ⭐ 117

A Python library for doing bibliometric and network analysis in science and health policy research

Dynamic Coattention Network Plus ⭐ 115

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Allennlp Semparse ⭐ 104

A framework for building semantic parsers (including neural module networks) with AllenNLP, built by the authors of AllenNLP

Tensorflow Font2char2word2sent2doc ⭐ 98

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

Sentiment ⭐ 85

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

ECML 2019: Graph Neural Networks for Multi-Label Classification

Pred Rnn ⭐ 76

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Nlp Capsule ⭐ 70

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Label Embedding Network ⭐ 68

Label Embedding Network

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

Dmn Plus ⭐ 60

A Pytorch tutorial for implementation of Dynamic memory Network Plus

A convolutional neural network library for NLP.

Knowledge_graph_wander ⭐ 58

A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Bookworm ⭐ 54

📚 social networks from novels

Deep Nlp ⭐ 52

Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.

Classifying Relations by Ranking with Convolutional Neural Networks

Reading Group ⭐ 48

Discussions on papers, frameworks, blogs and ideas every Saturday.

Machine Comprehension ⭐ 45

MACHINE READING COMPREHENSION WITH SELF-MATCHING NETWORKS

Deep Learning for Natural Language Processing in Stanford

Relation Network ⭐ 43

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

Dmn Tensorflow ⭐ 40

TensorFlow implementation of 'Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015)'

Rnn From Scratch ⭐ 38

A Recurrent Neural Network implemented from scratch (using only numpy) in Python.

Sipintar ⭐ 37

Indonesian Chatbot built by Multi Layer Perceptron(Neural Network)

Java Deep Learning Cookbook ⭐ 35

Java Deep Learning Cookbook, published by Packt

Videosearchengine ⭐ 34

Semantically be able to search through a database of videos (using generated summaries)

Linkedin Visualizer ⭐ 34

The missing feature in LinkedIn

Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations

Han Pytorch ⭐ 31

(Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch

Deep Learning ⭐ 27

Resources of deep learning courses by Andrew Ng

Deeplearning Note ⭐ 25

Deep Learning Note: tutorial, documentation, code links, etc...

Generate ⭐ 25

Generate networks from syntax (e.g. natural language, math proofs, action plans, biome/reactome nets)

Deepbadsentence ⭐ 24

Deep Learning Bad Sentence Classifier

Nlp_learn ⭐ 24

NLP学习笔记-前沿追踪

Machine Learning Explorations - A list of machine learning resources

A free, open-source inference and learning library for Sum-Product Networks (SPN)

Hierarchical Attention Network ⭐ 21

Hierarchical Attention Network for Sentiment Analysis

Ml Research Made Easy ⭐ 19

Link of ML papers to their blogs/ supplementary material

Deep Learning Is Awesome ⭐ 17

A curated list of deep learning tutorials, projects and other resources

Imdb Transformer ⭐ 16

A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.

Ml_gallery ⭐ 16

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

Orgainzed Digital Intelligent Network (O.D.I.N)

Convolution Neural Network for classification of semantic relations in a sentence

Paper Notes ⭐ 14

paper notes on nlp/cv/rl/dl

Text_dnn_classifier ⭐ 14

Contains common depth text classification neural network, The deep neural network will eventually be combined with xgboost

Cs224d_deeplearningfornlp ⭐ 13

Deep Learning for Nature Language Processing at Standford

Screenshot To Code ⭐ 13

Generating Code from a Graphical User Interface Screenshot

Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)

Universal data IO and neural network modules in NLP tasks.

Graphnet_nlp_paper ⭐ 13

List of papers that applied graph network to NLP

Multi_view_network ⭐ 12

Keras implementation of Guo et al.'s Multi-View Network (2017).

Smn_pytorch ⭐ 11

PyTorch version for Sequential Matching Network

Coursera Deep Learning ⭐ 11

Coursera Deep Learning Specialization: Code Implementation, Lecture Notes and Corresponding Papers

Deep Learning With Neural Networks ⭐ 11

This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.

Tolkein_text ⭐ 10

Neural Network Language Model that generates text based off Lord of the Rings. Built with Pytorch.

Nlp Repository ⭐ 10

A curated list of resources about NLP

Deepexperiments ⭐ 9

TensorFlow/Keras experiments on computer vision and natural language processing

Neural Networks And Deep Learning ⭐ 9

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

Aind Capstone ⭐ 9

Machine Translation with RNNs. This is the capstone project for the Udacity AI Nanodegree.

Deep Learning Note ⭐ 9

深度学习笔记

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