IntelPython / mkl_fftLinks
NumPy-based Python interface to Intel® oneAPI Math Kernel Library (oneMKL) Fourier Transform Functions
☆70Updated this week
Alternatives and similar repositories for mkl_fft
Users that are interested in mkl_fft are comparing it to the libraries listed below
Sorting:
- NumPy ufuncs and utilities.☆54Updated last week
- Pyculib - Python bindings for CUDA libraries☆98Updated 6 years ago
- Explore HDF5 files in terminal & HTML views☆78Updated 10 months ago
- lazyarray is a Python package that provides a lazily-evaluated numerical array class, larray, based on and compatible with NumPy arrays.☆20Updated last year
- Python package to read and write a wide range of Python types to/from HDF5 formatted files. Can read/write data to the HDF5 based Matlab …☆87Updated last year
- Meta-package providing the oldest supported Numpy for a given Python version and platform☆54Updated last year
- Remote Frame Buffer for Jupyter☆80Updated 4 months ago
- Example Numba implementations of functions☆177Updated 2 years ago
- Execute a subset of Python on HPC platforms☆70Updated 4 months ago
- SciPy fixes and extensions☆19Updated 3 years ago
- Compatibility layer for common array libraries to support the Array API☆103Updated 3 weeks ago
- Automatic differentiation with uarray/unumpy.☆16Updated 4 years ago
- A general dispatch and override mechanism for Python.☆109Updated 3 weeks ago
- An augmented version of cProfile and Snakeviz☆27Updated 8 years ago
- A pythonic wrapper around the NFFT library☆65Updated last year
- Weave - tools for including C/C++ code within Python code.☆59Updated 2 years ago
- Make your Python code fly at transonic speeds!☆125Updated this week
- Helps h5py to dump and load dictionaries.☆22Updated 2 weeks ago
- Subsumed into xnd☆25Updated 2 years ago
- Additional scientific computing functionality in Python - extensions to NumPy/SciPy++☆64Updated 5 years ago
- ∫ Straightforward numerical integration of systems of ordinary differential equations☆95Updated last month
- Subsumed into xnd☆81Updated last year
- Performance benchmarks of Python, Numpy, etc. vs. other languages such as Matlab, Julia, Fortran.☆28Updated 3 months ago
- Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.☆63Updated 4 years ago
- Set of compression filters for h5py☆75Updated last week
- FFTW bindings for the xtensor C++14 multi-dimensional array library☆47Updated 5 months ago
- Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality☆117Updated last year
- Numeric and scientific computing on GPUs for Python with a NumPy-like API☆93Updated 4 years ago
- Python binding for odeiv2 interface from GNU Scientific Library (GSL)☆14Updated last month
- Multi-dimensional data arrays with labeled dimensions☆136Updated this week