Lists (1)
Stars
Python code for "Probabilistic Machine learning" book by Kevin Murphy
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Probabilistic reasoning and statistical analysis in TensorFlow
Bayesian optimization in PyTorch
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot
GCP for Bioinformatics Researchers
A PyTorch library for two-sample tests
Mapping out the coarse-grained connectivity structures of complex manifolds.
Statistical Rethinking with PyTorch and Pyro
Bayesian Analysis with Python - Second Edition, published by Packt
Direct estimation of mean and covariance from single cell RNA seq experiments
Deep learning framework for SV calling and genotyping
AM207 project: dissect aleatoric and epistemic uncertainty
Predict RNA velocity through deep learning
Fast Gene Set Enrichment Analysis (GSEA) implementation of the prerank algorithm. Use Loess interpolation of bimodal ES distribution for accurate p-value estimation.
Quickest way to share everything about your research within a single app
A library for bayesian variable selection
Tutorials on using latest dynamo package
An algorithm in Python that locates the TLS and lymphoid aggregates in tissues using immune cell coordinates