dedupeio / pylbfgsLinks
Python/Cython wrapper for liblbfgs
☆27Updated 8 months ago
Alternatives and similar repositories for pylbfgs
Users that are interested in pylbfgs are comparing it to the libraries listed below
Sorting:
- A library to build up lazily evaluated expressions of linear transforms for efficient scientific computing.☆25Updated last year
- Proximal algorithms and operators in python☆26Updated 6 years ago
- Proximal optimization in pure python☆118Updated 2 years ago
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Library for diffusion maps☆46Updated 3 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- Toolbox for non-linear calibration modeling.☆24Updated 6 months ago
- pyrff: Python implementation of random fourier feature approximations for gaussian processes☆28Updated 2 months ago
- Gaussian-Processes Surrogate Optimisation in python☆19Updated 4 years ago
- Implementation of Nesterov and Polyak's (2006) cubic regularization algorithm and Cartis et al's (2011) adaptive cubic regularization alg…☆18Updated 3 years ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- A generic interface for linear algebra backends☆73Updated 3 months ago
- Code for AutoGP☆26Updated 5 years ago
- Port of SPGL1 to python☆46Updated 10 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Python Tensor Toolbox☆33Updated last month
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆28Updated 7 months ago
- Kernels, the machine learning ones☆14Updated 2 years ago
- Learning with operator-valued kernels☆22Updated 2 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- ☆12Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Truncated SVD by implicitly restarted Lanczos bidiagonalization for Python Numpy☆57Updated 2 years ago