Numerical Methods in SciPy
-
Updated
Jun 11, 2024 - Jupyter Notebook
Numerical Methods in SciPy
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Statistical Machine Intelligence & Learning Engine
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Provides compile-time contraction pattern analysis to determine optimal tensor operation to perform.
Various numerical methods learnt in the University course applied in programming. *ongoing
A numerical and automatic mathematical library in C++ for scientific and graphical applications.
Curso de Álgebra Linear: Aspectos Teóricos e Computacionais da UERJ.
DBCSR: Distributed Block Compressed Sparse Row matrix library
Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
Using Linear Algebra Techniques to accelerate Gaussian Process Regression
PyProximal – Proximal Operators and Algorithms in Python
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Forth does tensors, in CUDA.
Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!
useful numerical algorithms and operations with focus on linear algebra and geometry
Directory of Fortran codes on GitHub, arranged by topic
Matrix library (Linear Algebra)
Add a description, image, and links to the linear-algebra topic page so that developers can more easily learn about it.
To associate your repository with the linear-algebra topic, visit your repo's landing page and select "manage topics."