Mackenzie M. Johnson (mmjohn)

mmjohn

Geek Repo

Company:University of Texas at Austin

Home Page:https://mmjohn.github.io/

Twitter:@mmjohnEEB

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Mackenzie M. Johnson's starred repositories

positron

Positron, a next-generation data science IDE

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ANARCI

Antibody Numbering and Antigen Receptor ClassIfication

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AbNumber

Convenience Python APIs for antibody numbering using ANARCI

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AntPack

Tools for annotation, processing and ML for antibody sequences

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AbLang2

An antibody-specific language model focusing on NGL prediction

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AntiBERTy

Antibody-specific masked language model

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EATLM

Code for 'On Pre-trained Language Models For Antibody'

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AbLang

AbLang: A language model for antibodies

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esm

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

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efficient-evolution

Efficient evolution from protein language models

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c-book-club

Modern C book club for R contributors

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cheatsheets

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

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partis

B- and T-cell receptor sequence annotation, simulation, clonal family and germline inference, and affinity prediction

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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swmutsel

Implementation of the site-wise mutation-selection model (swMutSel) described in Tamuri et al. (2012, 2014) , and Tamuri and dos Reis (2022)

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ml-road

Machine Learning Resources, Practice and Research

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LDhat

Estimate recombination rates from population genetic data

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dataviz

A book covering the fundamentals of data visualization

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SDS375

SDS 375 Data Visualization in R

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vitae

R Markdown Résumés and CVs

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torch

R Interface to Torch

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keras3

R Interface to Keras

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lecture_notes

Lecture Notes on Computational and Mathematical Population Genetics

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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postcards

💌 Create simple, beautiful personal websites and landing pages using only R Markdown.

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deeplearning-biology

A list of deep learning implementations in biology

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