Alternatives and similar repositories for cyanure

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

• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆96Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• g-benton / loss-surface-simplexes
  ☆100Updated 4 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆64Updated 4 years ago
• cybertronai / autograd-lib
  ☆33Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆53Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆109Updated last year
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆90Updated last year
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆129Updated 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
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆65Updated 6 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆67Updated 4 years ago
• mle-infrastructure / mle-scheduler
  Lightweight Cluster/Cloud VM Job Management 🚀
  ☆42Updated last year
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated last year
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 4 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• suinleelab / attributionpriors
  Tools for training explainable models using attribution priors.
  ☆125Updated 4 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆79Updated 5 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• ml-retrospectives / ml-retrospectives.github.io
  ☆27Updated 2 years ago
• choidami / sst
  ☆50Updated 5 years ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• 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
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆151Updated 5 years ago