YerevaNN's repositories
mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III π clinical database.
A-Guide-to-Deep-Learning
π A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
BARTSmiles
BARTSmiles, generative masked language model for molecular representations
ChemLactica
Fine-tuning Galactica and Gemma to operate on SMILES. Integrates into a molecular optimization algorithm.
Relation-extraction-pipeline
Pipelines that combine different modules to perform relation extraction
BIG-bench
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
biorelex-codalab-submission
Sample baseline submission for BioRelEx codalab competition.
GLIP
Grounded Language-Image Pre-training
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.