Name: Tim Miller
Type: User
Company: Boston Children's Hospital and Harvard Medical School
Bio: I am part of the Computational Health Informatics Program (CHIP) located in Boston Children's Hospital, and an Associate Professor at Harvard Medical School
Location: Boston, MA
Blog: https://tmills.github.io/
Tim Miller's Projects
A curated list of awesome Machine Learning frameworks, libraries and software.
Anafora xml representing sentence annotations of clinical texts
cTAKES module for extracting drug adverse events
Utilities and interfaces for working with neural networks, especially through ClearTK and Keras
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A fork of Jurgen Vangael's Infinite HMM matlab code
RNNLM implementation in java Language
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Refactored libsvm for easily plugging custom kernels (e.g., Tree Kernel) written in Java.
The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
Sync academic papers (PDFs) across machines; manage bibtex file; tag and summarize references
phenotyping-related code
Codes for clustering on McLean psychosis data
πThe Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
QUAC ("quantitative analysis of chatter" or any related acronym you like) is a package for acquiring and analyzing social Internet content. Docs are online at http://reidpr.github.io/quac.
Web-Scale Open Information Extraction
A Java Swing application for producing pretty drawings of trees (i.e., acyclic connected graphs).
Mining temporal information