Michael Banf (mbanf)

mbanf

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Michael Banf's repositories

METACLUSTER

R package for context-specific functionality analysis of metabolic gene clusters

GRACE

Enhancing gene regulatory network inference through data integration with markov random fields

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NetworkModuleDetection

Highly scalable network clustering based on recursive jaccard similarity graph sparsification

superVision

Python implementation of Who supervises the supervisor? Model monitoring in production using deep feature embeddings with applications to workpiece inspection (https://arxiv.org/abs/2201.06599) to be presented at the 8th International Conference on Machine Vision and Machine Learning (MVML'22) (https://mvml.org)

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BigData_Amazon_reviews_ETL_Cloud

Performing cloud-base ETL and analyzing data using SQL, Natural Language Processing (NLP) pipeline and Machine Learning model.

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challenge-icml-2024

Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.

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CNS_BindingPrediction

Using conserved non-coding sequences for robust transcription factor binding prediction

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Fargate-MLflow-server

CDK deployment of MLflow on AWS Fargate to use with Amazon SageMaker.

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PictureSensation

Auditory image understanding for the visually impaired

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intervene

Intervene: a tool for intersection and visualization of multiple genomic region and gene sets

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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ProbabilisticMetabolicGeneClusterHighConfidenceSetInference

Probabilistic metabolic gene cluster high confidence set inference

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python_data_analysis

Python data repo, jupyter notebook, python scripts and data.

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sequence-to-expression-inference

This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

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SHARP

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

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Xpresso

Predicting gene expression levels from genomic sequences

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