phycomlab Goto Github PK

beer

BEER: Batch EffEct Remover for single-cell data

carla-driving-rl-agent

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

carlasimplexodrprojectionworkaround

Modifies an OSM file so that Carlas Simple Projection in the OSM to XODR Converter creates a correct XODR file for use in roadrunner etc.

cav-determinism

clam

conditional-sig-wasserstein-gans

data-bundle-examples

A repository housing metadata and data files (or links to data files) that are being prepared as sample data bundles for various uses.

de-analysis

deep-signature-transforms

Code for "Deep Signature Transforms" (NeurIPS 2019)

deep-traffic-lab

deepfri

Deep functional residue identification

emogi

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

fgw

Code for Optimal Transport for structured data with application on graphs

gas-network-anomaly-detection

Temporal Graph Convolutional AutoEncoder

getting-started-with-genomics-tools-and-resources

Unix, R and python tools for genomics and data science

gidm

Genetic Interaction Diffusion Maps (GIDM), a dimensionality reduction method based on Diffusion Maps, designed to incorporate gene co-expression information from local genetic networks by employing Gromov-Wasserstein distance for graphs.

graph-representations

Comparing graph representations for molecular features prediction

gwl

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

libra

maestro

Single-cell Transcriptome and Regulome Analysis Pipeline

modmarg

Calculating Marginal Effects and Levels with Errors Using the Delta Method

mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

netsim

Simulate networks with implanted graph motifs (cliques, stars, etc)

nic

non-linear-and-linear-techniques-for-dimensionality-reduction-visualization-on-single-cell-data

optimaltransport

This notebook introduces optimal transport, co-optimal transport, and Gromov-Wasserstein distance

orthopy

:triangular_ruler: Orthogonal polynomials in all shapes and sizes.

osm2xodr

converter for OpenStreetMaps to OpenDrive roads - for use with Carla or other things

ot-scomics

This Jupyter Notebook will walk you trough the code to replicate the experiments from our research on applying Optimal Transport as a similarity metric in between single-cell omics data.

otalign

Gromov-Wasserstein Alignment of Embeddings