konstmish / opt_methodsLinks
Benchmarking optimization methods on convex problems.
☆32Updated last year
Alternatives and similar repositories for opt_methods
Users that are interested in opt_methods are comparing it to the libraries listed below
Sorting:
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Interactive textbook on state space models☆12Updated 3 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 2 months ago
- ☆11Updated 4 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆55Updated 4 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆10Updated last year
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Anderson accelerated Douglas-Rachford splitting☆29Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Updated 5 years ago
- Convolution Smoothed Quantile Regression☆18Updated 9 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated 11 months ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Updated 2 years ago
- Improved LBFGS and LBFGS-B optimizers in PyTorch.☆62Updated 8 months ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated last year
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- ☆11Updated 4 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Python Algorithms for Randomized Linear Algebra☆54Updated 2 years ago
- ☆30Updated 2 years ago