Alternatives and similar repositories for dfw:

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

• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated last year
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 6 years ago
• erogol / Net2Net
  Net2Net implementation on PyTorch for any possible vision layers.
  ☆38Updated 7 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆41Updated 6 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 6 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated last year
• brain-research / mean-field-cnns
  ☆34Updated 6 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆34Updated 4 years ago
• lrjconan / deep_parsimonious
  Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016
  ☆14Updated 5 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• forestagostinelli / Learned-Activation-Functions-Source
  For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…
  ☆19Updated 9 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 5 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆73Updated 4 years ago
• wendazhou / nnet-compression-generalization
  ☆27Updated 6 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 5 years ago