enno-h Goto Github PK
Name: Enno Huang
Type: User
Location: Auckland, New Zealand
Name: Enno Huang
Type: User
Location: Auckland, New Zealand
Phase 2 of MSA 2018 involves creating an API which will ensure students understand the benefits of an API and how widely spread they are an integral part of many software solutions. This API will be tied into a simple User Interface from the knowledge attained in Phase 1. This Front end will be hosted as an Azure web app for demonstration purposes.
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Assignment 1 for Distributed Computing
Clinical NLP concept extraction of ADEs in the 2018 n2c2 Adverse Drug Events and Medication Extraction (Track 2). Includes data preprocessing, model training/evaluation scripts.
a library for named entity recognition developed by UF HOBI NLP lab featuring SOTA algorithms
A project for developing transformer-based models for clinical relation extraction
A collection of resources for Recommender Systems (RecSys)
Notebooks for learning deep learning
Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
The depository support training and testing BERT-CNN model on three medical relation extraction corpora: BioCreative V CDR task corpus, traditional Chinese medicine literature corpus, and i2b2 temporal relation corpus.
Code related to blog posts on my Medium page
Repository for the "Deep Learning Specialization" provided by deeplearning.ai for completing module assignments. The courses can be accessed here https://www.coursera.org/specializations/deep-learning
Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow
Use Java Spring Boot framework + MySQL database + Semantic UI front-end UI framework to build your own personal technology blog.
Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL
React 学习路线图 - 2018 版
Relation Extraction with Semeval 2010 data, i2b2 2010 VA challenge classification data and DDI extraction data.
Sample dbt project for the Snowflake + Fivetran Virtual Hands-On Lab
Repository for the course "Data structures: Measuring and Optimizing Performance" by University of California, San Diego for completing module assignments. The course can be accessed here https://www.coursera.org/learn/data-structures-optimizing-performance
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.