saramasarone

saramasarone's Stars

• Decima2/Decima2Toolkit

  Evaluation Toolkit for Machine Learning Model Understanding

  Language:Python10

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust34.1k928

• snap-stanford/GEARS

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

  Language:Python21842

• Ensembl/ols-client

  Language:Python62

• hajarsaihi/CyMET

  Mass Cytometry Meta Analysis Pipeline

  Language:Jupyter Notebook3

• alan-turing-institute/robots-in-disguise

  Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.

  Language:Jupyter Notebook336

• google-deepmind/alphamissense

  Language:Python53169

• saramasarone/RMV-VAE

  Language:Python5

• gao-lab/GLUE

  Graph-linked unified embedding for single-cell multi-omics data integration

  Language:Python39158

• alan-turing-institute/distinctipy

  A lightweight package for generating visually distinct colours.

  Language:Python24913

• dingdaisy/cooperative-learning

  Language:R132

• txWang/MOGONET

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

  Language:Python14850

• zhangxiaoyu11/OmiEmbed

  Multi-task deep learning framework for multi-omics data analysis

  Language:Python4020

• hashimsayed0/SubOmiEmbed

  Feature subsetting framework for multi-omics data analysis

  Language:Jupyter Notebook84

• aimacode/aima-exercises

  Exercises for the book Artificial Intelligence: A Modern Approach

  Language:HTML907548

• nebuly-ai/optimate

  A collection of libraries to optimise AI model performances

  Language:Python8.4k637

• sdjoko/fairlearn

  A Python package that implements a variety of algorithms that mitigate unfairness in supervised machine learning.

  1

• saramasarone/enrich_omics

  A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)

  Language:Python19

• beamandrew/medical-data

  5.8k1.1k

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.9k753

• omicsEye/omeClust

  multi-resolution clustering of omics data

  Language:Python145

• saramasarone/Running-kallisto-on-Apocrita

  Scripts to efficiently run kallisto on Apocrita with array jobs

  Language:Shell1

• lwgray/pyEntrezId

  Converts Ensembl, Uniprot, and HGNC IDs to Entrez Gene Id

  Language:Python459

• dcmoyer/invariance-tutorial

  A tutorial on learned non-adversarial invariance in neural networks

  Language:Jupyter Notebook133

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.9k7.9k

• epigenelabs/pyComBat

  pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.

  Language:Python7823

• KatrionaGoldmann/volcano3D

  An R package to plot interactive three-way differential expression analysis

  Language:HTML368

• FAIR-biomed/FAIR-biomed

  Browser extension for accessing open data resources in the biomedical domain

  Language:JavaScript104

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.7k1.8k

• csbl-usp/CEMiTool

  Co-Expression Module Identification Tool (CEMiTool) official repository

  Language:R2110