1512 Open source projects that are alternatives of or similar to Eda_nlp

RMDL: Random Multimodel Deep Learning for Classification

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

CNN-RNN中文文本分类，基于TensorFlow

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🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

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

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Tensorflow implementation of attention mechanism for text classification tasks.

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

A practical example on how to combine both a CNN and a RNN to classify images.

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Text classification meets word embeddings.

Relation Classification - SEMEVAL 2010 task 8 dataset

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分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec embedding, word embeddings on TensorFlow.

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Text2Text: Cross-lingual natural language processing and generation toolkit

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Fake News Detection in Python

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

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Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Awesome-Text-Classification Projects,Papers,Tutorial .

Keras implementation of a ResNet-CAM model

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

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A time series signal analysis and classification framework

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Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

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Object classification with CIFAR-10 using transfer learning

Implementation of papers for text classification task on DBpedia

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A deep learning library to provide algs in pure Numpy or Tensorflow.

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

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Machine Learning (EE 5184) in NTU

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A tool for learning vector representations of words and entities from Wikipedia

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Collections of model quantization algorithms