Alternatives and similar repositories for fast-soft-sort

Users that are interested in fast-soft-sort are comparing it to the libraries listed below

• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆845Updated 5 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆601Updated this week
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆781Updated 3 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆242Updated 3 years ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆484Updated 3 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆701Updated 4 months ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,146Updated last month
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,438Updated 3 months ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 3 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,627Updated 3 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆667Updated 7 months ago
• OATML / non-parametric-transformers
  Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
  ☆415Updated last year
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆290Updated 5 years ago
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆370Updated 2 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 4 years ago
• deep-spin / entmax
  The entmax mapping and its loss, a family of sparse softmax alternatives.
  ☆452Updated last year
• google-research / robustness_metrics
  ☆471Updated last month
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,076Updated 2 months ago
• martius-lab / blackbox-backprop
  Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…
  ☆347Updated 3 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆382Updated last year
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆1,005Updated 3 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆281Updated 2 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆310Updated 5 months ago
• guilgautier / DPPy
  Python toolbox for sampling Determinantal Point Processes
  ☆236Updated last year
• DeMoriarty / TorchPQ
  Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
  ☆229Updated last year
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆814Updated last year
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆904Updated 5 years ago