IBM / pylspackLinks
A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
☆20Updated 3 weeks ago
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☆53Updated last year
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆66Updated 4 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.☆16Updated 2 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- ☆54Updated 2 years ago
- codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"☆49Updated 2 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆80Updated 4 years ago
- CUDA kernels for generalized matrix-multiplication in PyTorch☆85Updated 3 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- A simple Python package for deep learning using forward automatic differentiation based on JAX.☆15Updated 3 years ago
- Documentation:☆123Updated 2 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 5 years ago
- ☆170Updated last year
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 4 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Examples of more involved applications using Geomstats☆32Updated 4 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago