Alternatives and similar repositories for lossgrad

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

• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆21Updated 3 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆14Updated 7 years ago
• seraphlabs-ca / MIM
  Code for "MIM: Mutual Information Machine" paper.
  ☆16Updated 2 years ago
• matthewwicker / StatisticalGuarenteesForBNNs
  Repository containing code for getting statistical guarantees on properties of BNNs
  ☆13Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• oval-group / ali-g
  Implementation of the ALI-G algorithm (PyTorch, Tensorflow)
  ☆22Updated 4 years ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• Abhishaike / HyperProtoNetReproduce
  NeurIPS 2019 Paper Implementation
  ☆12Updated 2 years ago
• dot-delta / Meta-SGD
  Meta-SGD Algorithms Implementation
  ☆22Updated last year
• 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
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 4 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 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 7 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• paper-submissions / norm_matters
  ☆13Updated 7 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• guoyongcs / NATv2
  Implementation for NATv2.
  ☆23Updated 4 years ago
• sanghoon / prediction_gan
  PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)
  ☆31Updated 7 years ago
• mabirck / adaptative-dropout-pytorch
  Pytorch implementation of Adaptative Dropout a.ka Standout.
  ☆12Updated 7 years ago
• cambridge-mlg / expressiveness-approx-bnns
  Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"
  ☆13Updated 3 years ago