Stars
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Natural Gradient Boosting for Probabilistic Prediction
Collection of bioinformatics training materials
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
Data and analysis for NA12878 genome on nanopore
🎯 Personal data science and machine learning toolbox
Full-Length Alternative Isoform analysis of RNA
pbsv - PacBio structural variant (SV) calling and analysis tools
Asyncio http mocking. Similar to the responses library used for 'requests'
💻 GUI for creating bioinformatics workflows from 🐳 Docker containers:
A safe, transparent way to share and deploy scikit-learn models.
DNA methylation analysis downstream to Nanopolish for Oxford Nanopore DNA sequencing datasets
Public repository for the work on bandit problems
Image and VM management for Jenkins, Spark and Mesos clusters in EC2
Haplotype-specific somatic copy number aberrations/profiling from long reads sequencing data
Nanomotif - a tool for identifying methylated motifs in metagenomic samples
Python bindings for Rust's linfa crate.
Yet another nanopore modification comparison tool
A Bayesian classifier for detecting and parameterizing an unknown number of latent states.
Fast exact inference for Bayesian Networks with deterministic conditional probability distributions
Experimental materials for testing the long-read mapping abilities of vg giraffe