Deep-Learning-for-Human-Activity-RecognitionKeras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Stars: ✭ 48 (-14.29%)
Mutual labels: convolutional-neural-network
text analysis tools中文文本分析工具包(包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取)
Stars: ✭ 410 (+632.14%)
Mutual labels: text-classification
bns-short-text-similarity📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
Stars: ✭ 24 (-57.14%)
Mutual labels: text-classification
ERNIE-text-classification-pytorchThis repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.
Stars: ✭ 49 (-12.5%)
Mutual labels: text-classification
ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
Stars: ✭ 94 (+67.86%)
Mutual labels: text-classification
DeepCrackDeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
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Mutual labels: convolutional-neural-network
RE2RNNSource code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"
Stars: ✭ 96 (+71.43%)
Mutual labels: text-classification
text gcn tutorialA tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Stars: ✭ 23 (-58.93%)
Mutual labels: text-classification
NLP QuickbookNLP in Python with Deep Learning
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Mutual labels: text-classification
Text-Classification-PyTorchImplementation of papers for text classification task on SST-1/SST-2
Stars: ✭ 57 (+1.79%)
Mutual labels: text-classification
Text-Classification-LSTMs-PyTorchThe aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.
Stars: ✭ 45 (-19.64%)
Mutual labels: text-classification
transfer-learning-text-tfTensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Stars: ✭ 82 (+46.43%)
Mutual labels: text-classification
20-newsgroups text-classification"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Stars: ✭ 41 (-26.79%)
Mutual labels: text-classification
Vaaku2VecLanguage Modeling and Text Classification in Malayalam Language using ULMFiT
Stars: ✭ 68 (+21.43%)
Mutual labels: text-classification
TextClassification基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
Stars: ✭ 86 (+53.57%)
Mutual labels: text-classification
pedestrian-detectionPedestrian Detection using Non Maximum Suppression
Stars: ✭ 30 (-46.43%)
Mutual labels: convolutional-neural-network
keras-aquariuma small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Stars: ✭ 14 (-75%)
Mutual labels: text-classification