Alternatives and similar repositories for torch_sampling

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

• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• aliutkus / torchsearchsorted
  Pytorch Custom CUDA kernel for searchsorted
  ☆137Updated last year
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 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
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• vacancy / AdvancedIndexing-PyTorch
  (Batched) advanced indexing for PyTorch.
  ☆53Updated 9 months ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆236Updated 4 years ago
• bkj / auction-lap
  Auction algorithm for solving linear assignment problem (LAP)
  ☆75Updated 3 years ago
• locuslab / lml
  The Limited Multi-Label Projection Layer
  ☆59Updated last year
• lucidrains / sinkhorn-transformer
  Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
  ☆269Updated 4 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆100Updated 3 years ago
• ag14774 / diffdist
  ☆62Updated 5 years ago
• csrhddlam / pytorch-checkpoint
  ☆165Updated 6 years ago
• ermongroup / neuralsort
  Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
  ☆146Updated 2 years ago
• jotaf98 / pytorch-curveball
  A second-order optimizer for deep networks
  ☆25Updated 5 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆243Updated 3 years ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆92Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• vacancy / Jacinle
  Personal python toolbox.
  ☆143Updated last week
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• Felix-Petersen / diffsort
  Differentiable Sorting Networks
  ☆117Updated 2 years ago
• david-abel / neurips_2019
  Notes from NeurIPS 2019
  ☆29Updated 5 years ago
• 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
  ☆67Updated 4 years ago
• facebookresearch / luckmatters
  Understanding Training Dynamics of Deep ReLU Networks
  ☆298Updated 2 weeks ago
• google / gumbel_sinkhorn
  ☆76Updated 8 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated 2 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 4 years ago