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m_model_collection

A collection of M models downloaded from published studies

molecular-dynamics

molecule-autoencoder

A project to enable optimization of molecules by transforming them to and from a continuous representation.

moses

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

mouse-atac

Repo for website and other code for mouse sci-ATAC-seq project

mpal-single-cell-2019

Publication Page for MPAL Paper 2019

mr-gan

Genomics feature learning is an unsupervised feature extraction algorithm.

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

msifromhe

predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer

multi-omics-cancer-benchmark

multimodalprognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

mupexi

MuPeXI: the mutant peptide extractor and informer, a tool for predicting neo-epitopes from tumor sequencing data.

natural-language-processing

This repo contains my natural language processing projects including the use of neural language models for text generation based on Spinoza's works and a sentiment analysis "in reverse" applied to movie reviews.

nci60example

Supplement and Rcode of Figures

neoantigenr

the repository for the neoantigen discovery tool

network_science_meets_deep_learning

Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science

neural-fingerprint

Convolutional nets which can take molecular graphs of arbitrary size as input.

neural-persistence

Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'

neural_reaction_fingerprint

ng2018_bioinformatics

nightpi

An all-in-one briefcase for pentesting, OSINT and radio exploration

nilearn

Machine learning for NeuroImaging in Python

nlp_course

YSDA course in Natural Language Processing

nmi-wsi-diagnosis

Pathologist-level interpretable whole-slide cancer diagnosis with deep learning

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

nucleisegmentation

cGAN-based Multi Organ Nuclei Segmentation

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

nyu-dlsp21

NYU Deep Learning Spring 2021

ocns-2021-workshop

omicsintegrator

This repository is the working directory for the Garnet-Forest bundle of python scripts for analyzing diverse forms of 'omic' data in a network context.