SWEM
NLP model reproducer
Reproduces the results of an ACL 2018 paper on simple word-embedding-based models for natural language processing tasks.
The Tensorflow code for this ACL 2018 paper: "Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms"
284 stars
12 watching
53 forks
Language: Python
last commit: almost 4 years agoLinked from 1 awesome list
deep-learningnatural-language-processingrepresentation-learningtensorflow
separius/awesome-sentence-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 apcode/tensorflow_fasttext | An open-source implementation of a text classification system using word embeddings and TensorFlow. | 302 |
 sergioburdisso/pyss3 | A Python package implementing an interpretable machine learning model for text classification with visualization tools | 336 |
 tensorflow/text | Preprocessing and processing tools for text data in machine learning models | 1,239 |
 yeephycho/nasnet-tensorflow | A toolkit for training and deploying a state-of-the-art image classification architecture on TensorFlow | 136 |
 batzner/tensorlm | A Python wrapper library for training and generating text with RNNs in TensorFlow | 61 |
 2shou/textgrocery | A text classification tool based on LibLinear with support for Chinese tokenize using jieba. | 677 |
 raduionescu/vlawe-boswe | Software providing representations for text classification based on word embeddings and clustering | 10 |
 arunmichaeldsouza/tensorflow-image-detection | A tool for training and classifying images using Google's Inception model and TensorFlow | 329 |
 xiayandi/pytorch_text_classification | An implementation of convolutional neural networks for text classification using PyTorch | 66 |
 hellochick/pspnet-tensorflow | A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
 zhezhaoa/ngram2vec | A toolkit for learning high-quality word and text representations from ngram co-occurrence statistics | 848 |
 bohanli/bert-flow | An implementation of a method to generate sentence embeddings from pre-trained language models using TensorFlow. | 530 |
 kwotsin/tensorflow-enet | A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
 zsdonghao/text-to-image | A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 602 |
 tkuanlun350/tensorflow-segnet | A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning. | 369 |