songyuling1

Practical_NLP_in_PyTorch

A repository containing tutorials for practical NLP using PyTorch

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

DDParser

百度开源的依存句法分析系统

EXE-GAN

Facial image inpainting is a task of filling visually realistic and semantically meaningful contents for missing or masked pixels in a face image. This paper presents EXE-GAN, a novel diverse and interactive facial inpainting framework, which can not only preserve the high-quality visual effect of the whole image but also complete the face image with exemplar-like facial attributes.

GCausality

Granger / MAR(p) modelling and CCM for inferring interactions from time series

time_series_handbook

pert

Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging

esupar

Tokenizer POS-Tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models for Japanese and other languages

self-attentive-parser

High-accuracy NLP parser with models for 11 languages.

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

CS224n-notes-and-codes

My notes and codes for Stanford CS224n

syntaxnet

Syntaxnet Parsey McParseface wrapper for POS tagging and dependency parsing

parser

:rocket: State-of-the-art parsers for natural language.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

How-to-use-SyntaxNet

Demo code to use SyntaxNet for basic paraphrasing.

Tb_DepParserMF_ARC

mtf-deep-dive

Deep dive on Markov transition fields applied to time series analysis

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

Python

All Algorithms implemented in Python

DissProject

These are my Python scripts for my dissertation project on semantic drift in the biblical corpus.

smarter-anomaly-detection

A series of notebook showing how one can post-process anomaly detection models to derive more insights

linguistic_neology_decline

100-Days-of-NLP

Serbian-language-entropy

Serbian Language Entropy is calculated using Shannon theorem applied on large text written in Serbian.

CCML_Learning

This is the offical website for paper ''Category-consistent deep network learning for accurate vehicle logo recognition''