A Python implementation of global optimization with gaussian processes.
- optimization
- gaussian-processes
- bayesian-optimization
- python
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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
A lean C++ library for working with point cloud data
- point-cloud
- icp
- ransac
- convex-hull
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
- csharp
- algebra
- integration
- latex
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.
- articulated-body-algorithm
- inverse-dynamics
- forward-dynamics
- multi-body-dynamics
A Python interface to access neuroanatomical atlases
- neuroscience
- python
- microscopy
- registration
A library of abstract interfaces for mathematical structures in Coq [maintainer=@spitters,@Lysxia]
- coq-library
- typeclasses
- mathematics
- coq
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
- disentanglement
- drug-discovery
- genomics
- perturbation
Mission-control style spacecraft tracker in Rust: live ISS, Dragon, Hubble, JWST and Roman orbits, passes and schedules. Retro CRT themes, and a mode for Raspberry Pi + composite CRT.
Optimising chemical reactions using machine learning
- chemistry
- machine-learning
- optimization
- bayesian-optimization
Safe Bayesian Optimization
- gaussian-processes
- optimization
- robotics
- reinforcement-learning
Automated 3D brain registration with support for multiple species and atlases.
- registration
- atlases
- brain
- neuroscience
A strongly-typed genetic programming framework for Python
- python
- ipynb
- genetic-programming
- framework
:new_moon: Lune.js — Calculate the phases of the moon
- moon
- lune
- javascript
- phase
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Variations on Kirby & Paris' hydra battles and other entertaining math in Coq (collaborative, documented, includes exercises) [maintainer=@Casteran]
- coq
- hydra-battles
- ordinal-notations
- formal-proofs
A library of Actionscript 3 classes for 3D Mathematics.
Nova DSO Tracker is an open-source Flask application for astrophotographers, providing real-time tracking of deep-sky objects' altitude, observability prediction, and integration with Stellarium and SIMBAD databases.
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection
Interpretable modeling of cellular responses to drug perturbations using cycle consistence learning