davidkartchner
I'm a Postdoctoral Researcher at Truveta. My research uses LLMs to extract, normalize, and structure data for clinical and biomedical domains.
@truvetaSeattle, WA, USA
davidkartchner's Stars
source-data/soda-data
The Source Data dataset: a biological annotated dataset for machine learning and AI in the publishing context.
pathology-dynamics/trialsieve
NER on clinical cohort studies for automated meta-analysis of clinical literature
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/openai-cookbook
Examples and guides for using the OpenAI API
pathology-dynamics/regal
Interactive Weak Supervision with Transformers
bigscience-workshop/biomedical
Tools for curating biomedical training data for large-scale language modeling
conda-forge/miniforge
A conda-forge distribution.
pathology-dynamics/semnet-2
argilla-io/argilla
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
JieyuZ2/wrench
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
davidkartchner/regal
Rule-Guided Active Learning
huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone