Alternatives and similar repositories for prunhild

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

• uber-research / deconstructing-lottery-tickets
  ☆144Updated 2 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆241Updated 3 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆125Updated last year
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆285Updated 2 years ago
• moskomule / l0.pytorch
  an implementation of L0 regularization with PyTorch
  ☆57Updated 7 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆152Updated 6 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆149Updated last year
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆137Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆85Updated 5 years ago
• AlliedToasters / synapses
  ☆71Updated 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
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• uber-research / intrinsic-dimension
  ☆219Updated 7 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 6 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆255Updated 2 years ago
• varungohil / Generalizing-Lottery-Tickets
  This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …
  ☆51Updated last year
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆375Updated last year
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆134Updated 6 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated 7 months ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• GATECH-EIC / Early-Bird-Tickets
  [ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
  ☆138Updated 4 years ago
• allenai / hidden-networks
  ☆192Updated 4 years ago