Alternatives and similar repositories for l0-arm

Users that are interested in l0-arm are comparing it to the libraries listed below

• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆66Updated 2 years ago
• IST-DASLab / WoodFisher
  Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)
  ☆52Updated 4 years ago
• spcl / sparsity-in-deep-learning
  Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests
  ☆45Updated 3 years ago
• briancheung / superposition
  ☆45Updated 5 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• JingtongSu / sanity-checking-pruning
  Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
  ☆42Updated 4 years ago
• alecwangcq / GraSP
  Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH
  ☆105Updated 5 years ago
• alexalemi / vib_demo
  ☆91Updated 3 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆272Updated 2 years ago
• shivamsaboo17 / PySNIP
  Single shot neural network pruning before training the model, based on connection sensitivity
  ☆11Updated 5 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆61Updated 4 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• sjmikler / snip-pruning
  SNIP: SINGLE-SHOT NETWORK PRUNING
  ☆31Updated 4 months ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆39Updated 3 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆41Updated 6 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆64Updated 7 years ago
• prolearner / hypertorch
  ☆123Updated last year
• 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 11 months ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆31Updated 5 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆39Updated 4 years ago
• cambridge-mlg / miracle
  This repository contains the code for our recent paper `Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters'
  ☆21Updated 6 years ago
• a554b554 / kWTA-Activation
  ☆47Updated 5 years ago
• x-zho14 / ProbMask-official
  Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
  ☆31Updated 3 years ago
• AMLab-Amsterdam / L0_regularization
  Learning Sparse Neural Networks through L0 regularization
  ☆245Updated 5 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆17Updated 6 years ago