Alternatives and similar repositories for sps

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

• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated 10 months ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆180Updated 3 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• louislva / deepmind-perceiver
  My implementation of DeepMind's Perceiver
  ☆63Updated 4 years ago
• uber-research / GTN
  ☆77Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• adjidieng / PresGANs
  Prescribed Generative Adversarial Networks
  ☆143Updated 4 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆146Updated last year
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆113Updated 3 years ago
• srush / parallax
  ☆153Updated 5 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆104Updated 4 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated last year
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆78Updated 4 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 3 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 3 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 9 months ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• cwkx / GON
  Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
  ☆160Updated 4 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆258Updated last year
• cgarciae / treex
  A Pytree Module system for Deep Learning in JAX
  ☆214Updated 2 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆110Updated 2 years ago