Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
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Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Evolutionary algorithm toolbox and framework with high performance for Python
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
QuTiP: Quantum Toolbox in Python
An implementation of chunked, compressed, N-dimensional arrays for Python.
A deep learning package for many-body potential energy representation and molecular dynamics
USD BRep is a standalone C++ and Python library for NURBS-based boundary representation (BRep) solid modeling
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
A library for differentiable nonlinear optimization
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Geometry Processing Library for Python
This repository is for archival. Please see https://github.com/Mathics3/mathics-core
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Chai-1, SOTA model for biomolecular structure prediction
Python package for 3D geometry CAD/BIM/CAM
Physical Symbolic Optimization
3D modeling in Python, built for LLMs.
A differentiable PDE solving framework for machine learning
A package for the sparse identification of nonlinear dynamical systems from data
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Code for the ProteinMPNN paper
Data intensive science for everyone.
Train AI models efficiently on medical images using any framework