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Simon Levine's Projects

attentionxml icon attentionxml

Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"

baal icon baal

Library to enable Bayesian active learning in your research or labeling work.

basenji icon basenji

Sequential regulatory activity predictions with deep convolutional neural networks.

bioinfor-deepatt icon bioinfor-deepatt

DeepATT, a hybrid deep neural network method for identifying functional effects of DNA sequences.

clinicalbert icon clinicalbert

repository for Publicly Available Clinical BERT Embeddings

clinicalbert-1 icon clinicalbert-1

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

cxr-implant-finder icon cxr-implant-finder

CheXpert-based automated pipeline for implant detection from a free-text input.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepsilencer icon deepsilencer

A deep convolutional neural network for the accurate prediction of silencers

dnabert icon dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

enformer-pytorch icon enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

exploring-t5 icon exploring-t5

A repo to explore different NLP tasks which can be solved using T5

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastsk icon fastsk

Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/

genesis icon genesis

Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences

gnn-based-diag icon gnn-based-diag

A repository for the 02-740 Bioimage Informatics course project on GNN-based cancer detection and classification.

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