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Name: Simon Levine
Type: User
Company: Absci
Bio: AI Scientist \\ Interested in how code can improve health \\ University of Southern California \\ Carnegie Mellon University \\
Location: San Francisco, CA
Name: Simon Levine
Type: User
Company: Absci
Bio: AI Scientist \\ Interested in how code can improve health \\ University of Southern California \\ Carnegie Mellon University \\
Location: San Francisco, CA
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Library to enable Bayesian active learning in your research or labeling work.
Sequential regulatory activity predictions with deep convolutional neural networks.
DeepATT, a hybrid deep neural network method for identifying functional effects of DNA sequences.
Chai-1, SOTA model for biomolecular structure prediction
CheXpert NLP tool to extract observations from radiology reports.
repository for Publicly Available Clinical BERT Embeddings
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
A cookiecutter template for Snakemake workflows
Clustering analysis and classification of coronavirus sequence data and metadata.
CheXpert-based automated pipeline for implant detection from a free-text input.
This repository contains implementations and illustrative code to accompany DeepMind publications
A deep convolutional neural network for the accurate prediction of silencers
Selections from CS185-Deep Learning for Genomics, Brown University
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Embedding Recycling for Language models
Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
A repo to explore different NLP tasks which can be solved using T5
Implementing Siamese networks with a contrastive loss for similarity learning
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.io/en/master/
Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.