mnarayan

mnarayan

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Company:@neuroquant

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neuroquant
ReScience
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TheEtkinLab

mnarayan's starred repositories

awesome-equivariant-network

Paper list for equivariant neural network

llm-finetuning

Guide for fine-tuning Llama/Mistral/CodeLlama models and more

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2015-slides

Slides and talk assets from PyCon 2015

admiral

ADaM in R Asset Library

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GEARS

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

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sc-pert

Models and datasets for perturbational single-cell omics

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awesome-llm-resources

a collection of resources around LLMs, aggregated for the workshop "Mastering LLMs: End-to-End Fine-Tuning and Deployment" by Dan Becker and Hamel Husain"

lemur

Latent Embedding Multivariate Regression

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solubility

An implementation of Delaney's ESOL method using the RDKit

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lohi_splitter

Lo-Hi Splitter for Modern Splits of Molecular Datasets

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cards

CDISC Analysis Results Data

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metk

Model Evaluation Toolkit

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sceptre

An R package for single-cell CRISPR screen data analysis emphasizing statistical rigor, massive scalability, and ease of use.

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Wonderful-Wednesdays

Repository to hold the data and materials for the Wonderful Wednesdays webinar series https://www.psiweb.org/sigs-special-interest-groups/visualisation/welcome-to-wonderful-wednesdays

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pygformula

The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

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DSPIN

Code and example of the D-SPIN framework

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actlearn_optint

Active learning for optimal intervention design in causal models

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ECoG-foundation-model

Self-supervised ECoG foundation model

SeitzmanGratton-2019-PNAS

Codebase for Seitzman et al., 2019, PNAS

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Minimal_Experimental_Design

Codes corresponding to work in manuscript "Minimally Sufficient Experimental Design using Identifiability Analysis"

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psb_supplement

This repository contains the code and supplement for the PSB submission (link to paper will be added here soon).

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