Alternatives and similar repositories for umps_code:

Users that are interested in umps_code are comparing it to the libraries listed below

• bdusell / semiring-einsum
  Generic PyTorch implementation of einsum that supports different semirings
  ☆46Updated 7 months ago
• AndPotap / einsum-search
  ☆29Updated 4 months ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆16Updated 3 years ago
• deep-spin / sparse-marginalization-lvm
  Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…
  ☆28Updated 3 years ago
• androstj / tensor_rnn
  An implementation of various tensor-based decomposition for NN & RNN parameters
  ☆18Updated 6 years ago
• Runjing-Liu120 / RaoBlackwellizedSGD
  A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
  ☆22Updated 5 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆18Updated 3 years ago
• xuanlinli17 / autoregressive_inference
  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)
  ☆12Updated 11 months ago
• cambridge-mlg / EinsumNetworks
  ☆50Updated last year
• srush / torch-golf
  Silly twitter torch implementations.
  ☆46Updated 2 years ago
• choidami / sst
  ☆49Updated 4 years ago
• diprism / fggs
  Factor Graph Grammars in Python
  ☆13Updated 2 months ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated last year
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆64Updated 3 years ago
• RakitinDen / pytorch-recursive-gumbel-max-trick
  Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021
  ☆10Updated 3 years ago
• tommccoy1 / tpdn
  Tensor product decomposition network
  ☆19Updated 3 years ago
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆19Updated 7 months ago
• glivan / tensor_networks_for_probabilistic_modeling
  Probabilistic modelling with tensor networks
  ☆28Updated 5 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• deep-spin / sparse-communication
  ☆12Updated 2 years ago
• ruqizhang / discrete-langevin
  ☆34Updated 2 years ago
• rand0musername / urnn
  Unitary Evolution Recurrent Neural Network
  ☆25Updated 3 years ago
• yzhwang / jax-multi-gpu-resnet50-example
  An example showing how to use jax to train resnet50 on multi-node multi-GPU
  ☆20Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆72Updated 6 months ago
• bergen / EdgeTransformer
  ☆22Updated 3 years ago
• IBM / pylspack
  A lightweight, multithreaded Python package for sketching, column selection, leverage scores and related computations.
  ☆19Updated 5 months ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• ratschlab / uRNN
  Code for "Learning Unitary Operators with Help From u(n)", AAAI-17. (https://arxiv.org/abs/1607.04903)
  ☆17Updated 8 years ago
• jkuck / BPNN
  ☆22Updated 3 years ago
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆79Updated 3 years ago