A Python implementation of global optimization with gaussian processes.
- optimization
- gaussian-processes
- bayesian-optimization
- python
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Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Solving the Traveling Salesman Problem using Self-Organizing Maps
- self-organizing-map
- som
- tsp
- tsp-problem
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
- openworm
- elegans
- biology
- simulation
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
- optimization
- multi-objective-optimization
- nsga2
- nsga3
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Evolutionary algorithm toolbox and framework with high performance for Python
- geatpy
- ga
- de
- es
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
- inertial-navigation-systems
- gnss
- gps
- imu
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
OmegaFold Release Code
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Source code for "DeepDTA: deep drug-target binding affinity prediction"
- protein-ligand-interactions
- convolutional-neural-networks
High performance computational platform in Python for the spectral Galerkin method
- spectral-methods
- galerkin
- fenics
- turbulence
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
Safe Bayesian Optimization
- gaussian-processes
- optimization
- robotics
- reinforcement-learning
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
- cheminformatics
- dft-calculations
- automation
- feature
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery