evangorstein

evangorstein's Stars

• OATML-Markslab/EVE

  Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

  Language:Python16135

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k335

• pbreheny/ncvreg

  Regularization paths for SCAD- and MCP-penalized regression models

  Language:R4228

• crsl4/julia-bootcamp

  61

• tribell4310/phylogenetics

  Phylogenetic Utilities for Ancestral Sequence Reconstruction

  Language:Python4

• papers-we-love/papers-we-love

  Papers from the computer science community to read and discuss.

  Language:Shell89.4k5.8k

• Mixtape-Sessions/Design-Based-Inference

  Design-Based Inference Mixtape Session taught by Peter Hull

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• duetosymmetry/latex-mpl-fig-tips

  Language:Jupyter Notebook27

• carlobaldassi/GaussDCA.jl

  Multivariate Gaussian Direct Coupling Analysis for residue contact prediction in protein families - Julia module

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• colin-fraser/chatgpt_experiments

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• palday/RegularizedMixedModels.jl

  Mixed Models with L_p and elastic net regularization on the fixed effects coefficients

  Language:Julia5

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.8k1.3k

• LysSanzMoreta/DRAUPNIR_ASR

  Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder

  Language:Python143

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.5k4.6k

• alex-hh/deep-protein-generation

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• grantmcdermott/lecturenotes

  My lecture notes Rmd template

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• jonbarron/website

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• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.8k1.1k

• MilesMcBain/breakerofchains

  Break your chain at the cursor line. Run the first bit. See the output. Be free.

  Language:R1613