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Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
A PyTorch Library for Accelerating 3D Deep Learning Research
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Official repository for the Boltz biomolecular interaction models
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Spearmint Bayesian optimization codebase
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
A research toolkit for particle swarm optimization in Python
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Interactive network visualization in Python and Dash, powered by Cytoscape.js
Module for statistical learning, with a particular emphasis on time-dependent modelling
🎯 A comprehensive gradient-free optimization framework written in Python
Graph-linked unified embedding for single-cell multi-omics data integration
Benchmarking analysis of data integration tools
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
Open Frontier Biomolecular Intelligence
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
A Python interface to access neuroanatomical atlases
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Easy link prediction tool
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
MCP server for spatial transcriptomics analysis through natural language interfaces.