Easy link prediction tool
- python
- network-analysis
- link-prediction
- research
47,133 repositories indexed
97–120 of 129 · Most stars
Easy link prediction tool
Inner ear models for Python
Learning cell communication from spatial graphs of cells
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
An open-source mathematical tire modelling library
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
MCP server for spatial transcriptomics analysis through natural language interfaces.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
Workbench for practical machine learning in Ruby.
Satellite prediction library for crystal using the sgp4 model
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
Official implementation of JAMIE, Joint variational Autoencoders for Multimodal Imputation and Embedding
Quartz - A Crystal Modeling & Simulation framework
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection