a programming library with geometric algorithms
- graphics-libraries
- graphics-programming
- mesh-generation
- mesh-processing
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a programming library with geometric algorithms
Sverchok is Node-based visual programming for parametric 3D modeling and computational geometry in Blender
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Message Passing Neural Networks for Molecule Property Prediction
10x faster matrix and vector operations
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
Medical imaging processing for AI applications.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
PyWavelets - Wavelet Transforms in Python
Optax is a gradient processing and optimization library for JAX.
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
An open-source Python framework for hybrid quantum-classical machine learning.
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
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
Physical Symbolic Optimization
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON, RISC-V RVV)
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
The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
TensorLy: Tensor Learning in Python.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.