levrex's Stars
erdogant/flameplot
flameplot is a python package for the quantification of local similarity across two maps or embeddings.
MarcMaurits/EHRClustering
MarcMaurits/CloudCover
A repository for the R functions used for the creation of the CloudCover study figures
gregversteeg/CorEx
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
vanhoan310/JVis-learn-1
AltschulerWu-Lab/MUSE
MUSE is a deep learning approach characterizing tissue composition through combined analysis of morphologies and transcriptional states for spatially resolved transcriptomics data.
yashu-seth/pytorch-tabular
A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
skparr/ml_loinc_mapping
landiisotta/convae_architecture
MaartenGr/Reviewer
Tool for extracting and analyzing IMDB reviews
MaartenGr/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
xiaolibird/PhenoGrpah_pipeline
Python implementation of PhenoGraph
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
samehkamaleldin/libkge
A library for knowledge graph embedding models
dpeerlab/PhenoGraph
Subpopulation detection in high-dimensional single-cell data
aehrc/VariantSpark
machine learning for genomic variants
NuriaQueralt/bioknowledge-reviewer
A Python library for creating and exploring structured review articles.
lmcinnes/umap
Uniform Manifold Approximation and Projection
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
alexarnimueller/som
Self organizing Kohonen map in Python with periodic boundary conditions
JasonKessler/scattertext
Beautiful visualizations of how language differs among document types.
LordLiang/NER
Bidirectional LSTM-CRF for Clinical Entity Recognition
lvbag/BAG-API
Welkom op het platform waar de technische documentatie over de BAG API Individuele Bevragingen gepubliceerd wordt.
data-team-uhn/NeuralCR
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
karanbitode/Breast-Cancer-Detection-with-Deep-Learning
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error.We are using CNN to classify between cancerous cells and non-cancerous cells.
buske/patient-similarity
Phenotype and genotype-based patient similarity
AnthonyMRios/pymetamap
Python wraper for MetaMap