Alternatives and similar repositories for sls:

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

• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆138Updated 8 months ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆184Updated last year
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆145Updated 9 months ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 6 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 7 months ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆114Updated 3 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆103Updated 4 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• isl-org / LMRS
  Source code for ICLR 2020 paper: "Learning to Guide Random Search"
  ☆39Updated 6 months 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
  ☆103Updated last year
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆112Updated 5 years ago
• adjidieng / PresGANs
  Prescribed Generative Adversarial Networks
  ☆143Updated 4 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 4 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆127Updated 4 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 5 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 5 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆112Updated 6 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆84Updated 3 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated last year
• uber-research / loss-change-allocation
  ☆61Updated last year
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 2 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 4 years ago