mnarayan

mnarayan

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Company:@neuroquant

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Organizations
bids-standard
neuroquant
ReScience
skggm
TheEtkinLab

mnarayan's starred repositories

paper-qa

High accuracy RAG for answering questions from scientific documents with citations

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DeepPurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:952Issues:31Issues:130
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practical_cheminformatics_tutorials

Practical Cheminformatics Tutorials

Language:Jupyter NotebookLicense:MITStargazers:786Issues:45Issues:10

obsidian-zola

A no-brainer solution to turning your Obsidian PKM into a Zola site.

Language:SCSSLicense:MITStargazers:673Issues:10Issues:65

gt4sd-core

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Language:Jupyter NotebookLicense:MITStargazers:330Issues:17Issues:99

LLMs-Finetuning-Safety

We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.

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perfect_match

➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

Language:PythonLicense:MITStargazers:120Issues:5Issues:3

Zettels

Zettels Hugo Theme

scPerturb

scPerturb: A resource and a python/R tool for single-cell perturbation data

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proteinshake

Protein structure datasets for machine learning.

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drnet

💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.

Language:PythonLicense:MITStargazers:82Issues:3Issues:4

MetricsMLNotebooks

Notebooks for Applied Causal Inference Powered by ML and AI

Language:Jupyter NotebookLicense:MITStargazers:69Issues:5Issues:9

organage

A package to estimate biological organ age using SomaScan plasma proteomics data

Language:PythonLicense:MITStargazers:45Issues:2Issues:8

ame

🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.

Language:PythonLicense:MITStargazers:40Issues:4Issues:1

velodyn

Dynamical systems methods for RNA velocity analysis

Language:PythonLicense:Apache-2.0Stargazers:23Issues:6Issues:1
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AbLang2

An antibody-specific language model focusing on NGL prediction

Language:PythonLicense:BSD-3-ClauseStargazers:17Issues:0Issues:0

MTExplainer

This is an updated version of the MolecularTransformer of Schwaller et. al.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:12Issues:3Issues:1

bayes_diffexpr

code associated with publication: Inferring the immune response from repertoire sequencingPuelma Touzel, M PLoS Comp Bio 2020

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stats-models

BIDS Stats Models Specification

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Cellular_Morphological_Features-Improve-Prediction-of-Cytotoxicity--and-Proliferation-Related-Assay-

Cellular Morphological Features Improve Prediction of Cytotoxicity- and Proliferation-Related Assay Endpoints when Augmented with Molecular Fingerprints

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multidms

Joint modeling of multiple deep mutational scanning experiments

Language:Jupyter NotebookLicense:MITStargazers:1Issues:4Issues:99

SARS-CoV-2_spike_multidms

Comparing DMS datasets for spike from Delta, Omicron BA.1, and Omicron BA.2

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awesome-surrogates

A correlate does not a surrogate make

ACIDES

ACIDES to analyze forward genetic screens datasets

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:1Issues:0Issues:0

pytorch-tsmixer

A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

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