Alternatives and similar repositories for importance-sampling

Users that are interested in importance-sampling are comparing it to the libraries listed below

• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• bayesgroup / variational-dropout-sparsifies-dnn
  Sparse Variational Dropout, ICML 2017
  ☆313Updated 5 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• loshchil / SGDR
  ☆252Updated 8 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆145Updated 8 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 6 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 8 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆254Updated 6 years ago
• loshchil / AdamW-and-SGDW
  Decoupled Weight Decay Regularization (ICLR 2019)
  ☆282Updated 6 years ago
• pluskid / fitting-random-labels
  Example code for the paper "Understanding deep learning requires rethinking generalization"
  ☆178Updated 5 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆243Updated 3 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆475Updated 3 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆168Updated 6 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆148Updated last year
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆190Updated 5 years ago
• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆244Updated 5 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆124Updated 2 years ago
• ravidziv / IDNNs
  explore DNNs via Infomration
  ☆265Updated 5 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆174Updated 6 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 6 years ago
• rtanno21609 / AdaptiveNeuralTrees
  Adaptive Neural Trees
  ☆155Updated 6 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆146Updated 8 years ago
• tensorflow / kfac
  An implementation of KFAC for TensorFlow
  ☆198Updated 3 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆224Updated 5 years ago
• uber-research / deconstructing-lottery-tickets
  ☆142Updated 2 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆392Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 years ago