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100 Days of ML Coding
This is the code for reproducing the experiments from "Embedding Strategies for Specialized Domains: Application to Clinical Entity Recognition" (El Boukkouri et al.)
Roadmap to becoming an Artificial Intelligence Expert in 2021
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
Arethusa: Annotation Environment
Multi purpose GUI used in the production of computational lexica and gold standard data for NE tagging
:memo: An awesome Data Science repository to learn and apply for real world problems.
Resource NLP & Bahasa
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
TensorFlow code and pre-trained models for BERT
Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, and RoBERTa)
A BiLSTM in Keras for POS tagging
Bio-YODIE is GATE's biomedical named entity linking pipeline.
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
Fork of Black with tweaks
brat rapid annotation tool (brat) - for all your textual annotation needs
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
repository for Publicly Available Clinical BERT Embeddings
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
A Code-First Introduction to NLP course
Created a custom NER using to recognize diseases from health care data.
Training Custom NER With Spacy 3
A CRF-biLSTM based Biomedical NER model in Bioinformatics 2018.
code for Data Science From Scratch book
Data science interview questions and answers
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.
Toturials coming with the "data science roadmap" picture.
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.