Lightweight, general, scalable C++ library for finite element methods
- finite-elements
- high-order
- high-performance-computing
- parallel-computing
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Lightweight, general, scalable C++ library for finite element methods
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
A python module for scientific analysis of 3D data based on VTK and Numpy
A versatile pairwise aligner for genomic and spliced nucleotide sequences
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
MMseqs2: ultra fast and sensitive search and clustering suite
Differentiable convex optimization layers
For running psychology and neuroscience experiments
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.
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
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
CUDA integration for Python, plus shiny features
a Productive Parallel Programming Language
Useful bash one-liners for bioinformatics.
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automatic differentiation made easier for C++
LAPACK development repository
C# library for 2D/3D geometric computation, mesh algorithms, and so on. Boost license.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.