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SciPy library main repository
Open source code for AlphaFold 2.
AlphaFold 3 inference pipeline.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Distributed Evolutionary Algorithms in Python
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Optax is a gradient processing and optimization library for JAX.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
A research toolkit for particle swarm optimization in Python
A Free and Open Source Python Library for Multiobjective Optimization
FiPy is a Finite Volume PDE solver written in Python
🎯 A comprehensive gradient-free optimization framework written in Python
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
A High-Level Abstraction Framework for Quantum Algorithms
Parsers and algorithms for computational chemistry logfiles
Quantum Computer Library for Everyone
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.
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
A browser workspace connecting research projects, apps, and collaborators