rehbergT / dgemmLinks
Tutorial: Writing R and Python Packages with Multithreaded C++ Code using BLAS, AVX2/AVX512, OpenMP, C++11 Threads and Cuda GPU acceleration
☆14Updated 2 years ago
Alternatives and similar repositories for dgemm
Users that are interested in dgemm are comparing it to the libraries listed below
Sorting:
- PaStiX (Parallel Sparse matriX package) solver library☆14Updated 6 years ago
- Convex optimization over risk-neutral probabilities.☆15Updated 5 years ago
- Derivative-free nonlinear global optimizer with python interface☆16Updated 5 years ago
- Libraries for Scientific Computing☆10Updated 6 years ago
- Python and C++ implementation of the Chirp-Z transform☆19Updated 4 years ago
- Python functions for orthogonal polynomials and (real, 2D, orthonormal) spherical harmonics☆9Updated last year
- Application of principal component analysis capturing non-linearity in the data using kernel approach☆8Updated 6 years ago
- My homepage☆14Updated 2 weeks ago
- Sequential Monte Carlo sampler for PyMC2 models.☆13Updated 7 years ago
- Solver for Unconstrained Binary Quadratic Optimization (UBQO, BQO, QUBO) and Max 2-SAT, based on semidefinite relaxation with constraint …☆15Updated 2 years ago
- A hierarchical matrix C/C++ library☆23Updated last week
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- MCMC for the Dark Energy Spectroscopic Instrument☆13Updated 9 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Code for the paper Recurrent Machines for Likelihood-Free Inference☆15Updated 6 years ago
- Common API (C++ and Python) for Fast Fourier Transform HPC libraries (publish-only mirror)☆10Updated 7 months ago
- Python interface to the QDLDL (https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems☆14Updated last week
- OptimPack is a library for large optimization problems.☆37Updated 3 months ago
- Automatic differentiation with uarray/unumpy.☆16Updated 4 years ago
- Learning with operator-valued kernels☆22Updated 2 years ago
- Massively Scalable Clustering☆23Updated 6 years ago
- Optimal approximate sampling from discrete probability distributions☆17Updated 4 years ago
- Mixed graph Laplacian upscaling and solvers☆12Updated 5 months ago
- Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)☆22Updated 2 years ago
- Evolutionary Algorithms implementations, for various (discrete & continuous) optimization problems, including for autonomous agent contro…☆13Updated 9 months ago
- Agent models implemented with Pyro☆11Updated last year
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- An implementation of the Graves & Schmidhuber (2005) bidirectional LSTM in Flux.☆11Updated 7 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Automatic differentiation for NumPy☆42Updated 12 years ago