Stars
A Java implementation of Locality Sensitive Hashing (LSH)
Money never sleeps! IntelliJ IDEA平台插件. 支持查看股票, 基金和数字货币实时行情. 其中股票支持美股, 港股和宇宙第一大A股.
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
A python library contain classic algorithms and deep models on recommender system
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Classic papers and resources on recommendation
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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.
This is the code for our ACL 2019 paper "Open Domain Event Extraction Using Neural Latent Variable Models"
Implementations of label propagation like algorithms
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)
Deep contextualized word representations for Chinese
BiLSTM-CNN-CRF architecture for sequence tagging using ELMo representations.
Joint Extraction of Entities and Relations Based on cnn+rnn
code for Joint Extraction of Entities and Relations Based on a Novel Graph Scheme
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and…
XLNet: Generalized Autoregressive Pretraining for Language Understanding
A neural network model for Chinese named entity recognition
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
download papers' pdf from http://sci-hub.cc/ automatically
A easy HMM program written with Python, including the full codes of training, prediction and decoding.