Alternatives and similar repositories for DGL

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

• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 7 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆77Updated 6 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
• zhuchen03 / VIBNet
  Compressing Neural Networks using the Variational Information Bottleneck
  ☆66Updated 3 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆39Updated 8 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 7 years ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆64Updated 4 years ago
• szmikler / snip-pruning
  SNIP: SINGLE-SHOT NETWORK PRUNING
  ☆31Updated 8 months ago
• uber-research / deconstructing-lottery-tickets
  ☆144Updated 2 years ago
• anokland / local-loss
  PyTorch code for training neural networks without global back-propagation
  ☆165Updated 6 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆31Updated 5 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 …
  ☆50Updated last year
• lottery-ticket / rewinding-iclr20-public
  ☆69Updated 5 years ago
• rdspring1 / Count-Sketch-Optimizers
  A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
  ☆26Updated 6 years ago
• prolearner / hypertorch
  ☆125Updated last year
• VITA-Group / triple-wins
  [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
  ☆24Updated 3 years ago
• modestyachts / CIFAR-10.1
  Release of CIFAR-10.1, a new test set for CIFAR-10.
  ☆225Updated 5 years ago
• yangarbiter / robust-local-lipschitz
  A Closer Look at Accuracy vs. Robustness
  ☆88Updated 4 years ago
• briancheung / superposition
  ☆46Updated 6 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆80Updated last year
• wendazhou / nnet-compression-generalization
  ☆27Updated 7 years ago
• P2333 / Max-Mahalanobis-Training
  Max Mahalanobis Training (ICML 2018 + ICLR 2020)
  ☆90Updated 4 years ago
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆112Updated 6 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆142Updated 6 years ago
• locuslab / projected_sinkhorn
  ☆88Updated last year
• a1600012888 / YOPO-You-Only-Propagate-Once
  Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
  ☆178Updated last year
• namhoonlee / snip-public
  SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
  ☆116Updated 6 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 6 years ago