Alternatives and similar repositories for softsort

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

• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆79Updated 2 years ago
• tuero / perturbations-differential-pytorch
  Differentiable Optimizers with Perturbations in Pytorch
  ☆68Updated 4 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆200Updated 2 years ago
• facebookresearch / graph2nn
  code for paper "Graph Structure of Neural Networks"
  ☆155Updated 3 years ago
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆83Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆100Updated 3 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆103Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆64Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• LeviViana / torch_sampling
  Efficient reservoir sampling implementation for PyTorch
  ☆106Updated 3 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• martius-lab / blackbox-deep-graph-matching
  Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
  ☆88Updated 4 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆123Updated 2 years ago
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆104Updated 4 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆64Updated 8 months ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• osiriszjq / Rethinking-positional-encoding
  ☆89Updated last year
• cunningham-lab / igr
  ☆30Updated 4 years ago
• Delay-Xili / LDR
  The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…
  ☆63Updated 2 years ago
• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆210Updated 6 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• xieyujia / IPOT
  Implementation of Inexact Proximal point method for Optimal Transport
  ☆48Updated 4 years ago
• ryanchankh / redunet_paper
  Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆60Updated 4 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year