Alternatives and similar repositories for adversarial-playground

Users that are interested in adversarial-playground are comparing it to the libraries listed below

• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• hongyanz / multibranch
  Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
  ☆20Updated 4 years ago
• GATECH-EIC / E2Train
  [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
  ☆21Updated 5 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆27Updated last year
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆28Updated 9 years ago
• usyd-fsalab / NeuralNetworkRandomness
  ☆14Updated 3 years ago
• AkhilanB / CNN-Cert
  ☆22Updated 3 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated 9 months ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• ARM-software / scalpel
  This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…
  ☆41Updated 6 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• tristandeleu / pytorch-structured-sparsity
  Code for "Structured Sparsity Inducing Adaptive Optimizers for Deep Learning" in PyTorch
  ☆18Updated 4 years ago
• evcu / pytorchpruner
  ☆22Updated 6 years ago
• yashkant / enas-quantized-nets
  Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
  ☆5Updated 6 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 5 years ago
• AngusG / cleverhans-attacking-bnns
  Source for paper "Attacking Binarized Neural Networks"
  ☆23Updated 7 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 5 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 6 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• facebookresearch / spartan
  Spartan is an algorithm for training sparse neural network models. This repository accompanies the paper "Spartan Differentiable Sparsity…
  ☆24Updated 2 years ago
• shromonag / FalsifyNN
  ☆11Updated 3 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago