- CSE6250 Projects: Big Data Analytics for Healthcare
- Resource #18 on Project PDF
- #18 Github
- The paper on Transformers.
- The Google paper that took transformers to the next level via having massively pre-trained transformer models that can be fine tuned to specific tasks with minimal training time
- A good guide with really nice visualizations for understanding transformers intuitively.
- A really good guide for the code in PyTorch for the Transformer
- The source code for BERT
- Sample Papers for the project
- Macallum 1999 (Source in #18)
- Kim (Source in 18)
- The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL
- Multi-label Text Classification using BERT – The Mighty Transformer
- Instructions to connect to GCP instance
-
Notifications
You must be signed in to change notification settings - Fork 2
adamzolotarev/cse-6250-project
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
CSE 6250 Medical Code Prediction from Clinical Text with BERT (Spring 2019)
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published