askintution,Anita Reid,github

easyquant

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

eda_nlp

Code for the ICLR 2019 Workshop paper: Easy data augmentation techniques for boosting performance on text classification tasks.

efficient-pytorch

My best practice of training large dataset using PyTorch.

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

elmo-keras

Re-implementation of ELMo on Keras

elmo-nlp

ELMO在QA问答，文本分类等NLP上面的应用

elmoformanylangs

Pre-trained ELMo Representations for Many Languages

emotionrecognition

end-to-end-for-chinese-plate-recognition

基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现

ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

error-detection

Code for chinese error detection module, using n-gram and bi-lstm

esim

Implementation of the ESIM model for natural language inference with PyTorch

esim-response-selection

ESIM for Multi-turn Response Selection Task

espnet

End-to-End Speech Processing Toolkit

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

eventpredictbasedoneg

future event predict demo based on causal event graph that covers the full industries that can predict the benefits or bad effects in accordance with the event given by the user, 基于因果事理图谱的事件预测。

eventtriplesextraction

An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。