IBM / pylspackLinks
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
☆20Updated last month
Alternatives and similar repositories for pylspack
Users that are interested in pylspack are comparing it to the libraries listed below
Sorting:
- Riemannian Optimization Using JAX☆49Updated last year
- A differentiation API for PyTorch☆30Updated 5 years ago
- ☆33Updated 5 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
- Monotone operator equilibrium networks☆52Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- ☆49Updated 4 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 3 years ago
- ☆80Updated 3 years ago
- ☆52Updated last year
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- A LinearOperator implementation for PyTorch☆18Updated 4 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆29Updated 8 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 11 months ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 3 months ago
- Random feature latent variable models in Python☆22Updated last year
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- Code release for the ICLR paper☆20Updated 7 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago