Alternatives and similar repositories for lookahead_pruning

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

• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆105Updated 5 years ago
• RAIVNLab / STR
  Soft Threshold Weight Reparameterization for Learnable Sparsity
  ☆91Updated 2 years ago
• JingtongSu / sanity-checking-pruning
  Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
  ☆42Updated 4 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆53Updated 4 years ago
• VITA-Group / triple-wins
  [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
  ☆24Updated 3 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆114Updated 6 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 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
• jh-jeong / selective-convolution
  Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
  ☆25Updated 6 years ago
• ashaw596 / meta_architecture_search
  ☆21Updated 5 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆66Updated 3 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• yanghr / DeepHoyer
  DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
  ☆33Updated 5 years ago
• naszilla / nas-encodings
  Encodings for neural architecture search
  ☆29Updated 4 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• naver / force
  ☆14Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• mil-ad / prospr
  Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients
  ☆32Updated 3 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆61Updated 4 years ago
• namhoonlee / spp-public
  A Signal Propagation Perspective for Pruning Neural Networks at Initialization
  ☆15Updated 5 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• VITA-Group / ATMC
  [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …
  ☆50Updated 3 years ago
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆109Updated 6 years ago
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆118Updated 4 years ago
• 962086838 / code-for-Asymmetric-Valley
  This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".
  ☆14Updated 5 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year