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Name: Ramsey
Type: User
Name: Ramsey
Type: User
PyTorch deep learning models for document classification
Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
An ipython notebook demonstrating working with learning to rank in Solr or Elasticsearch
Code for my ORSUM, ACM RecSys 2020, HeroGRAPH: A Heterogeneous Graph Framework for Multi-Target Cross-Domain Recommendation
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival
This is the repository of Heterogeneous Transformer with Sparse Attention forLong-Text Extractive Summarization
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
A Java Framework for Recommender Systems
Hierarchy-Aware Global Model for Hierarchical Text Classification
HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.
Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"
Repository for " Integrating User Representation Learning and Multiscale Modeling: A Hierarchical Framework for Information Diffusion".
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Examples for High Performance Spark
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
Source code and dataset for ECML-PKDD 2020 paper "Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis"
Heterogeneous information network representation learning
we designed a personalized rating prediction system(HecRec) and a top-k list recommendation model (EPCDRec) which explore both heterogeneous information and cross-domain recommendation.
A framework for the analysis of recommender systems and the diversity of recommendations in Heterogeneous Information Networks
Hit Song Prediction
jq for Apache Hive
HyperLink-induced Pre-training for Passage Retrieval in Open-domain Question Answering
Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
Header-only C++/python library for fast approximate nearest neighbors
Native-Like Performance for Nearest Neighbor Search in Java Applications using Hnswlib and Java Native Access
A Machine Learning System for Data Enrichment.
This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
Utility Library for Hopsworks. Issues can be posted at https://community.hopsworks.ai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.