Alternatives and similar repositories for ali-g

Users that are interested in ali-g are comparing it to the libraries listed below

• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆20Updated 3 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 4 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 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆54Updated 3 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 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
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 5 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• human-analysis / intrinsic-dimensionality
  PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation
  ☆26Updated 6 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 6 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• seraphlabs-ca / MIM
  Code for "MIM: Mutual Information Machine" paper.
  ☆15Updated 3 years ago
• ermongroup / BiasAndGeneralization
  ☆28Updated 6 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆36Updated 5 years ago
• titu1994 / tf_GON
  Tensorflow 2.x implementation of Gradient Origin Networks
  ☆12Updated 5 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆56Updated 6 years ago
• arthurmensch / online_sinkhorn
  ☆13Updated 5 years ago
• MSusik / Inhibited-softmax
  Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"
  ☆25Updated 6 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆22Updated 5 years ago
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆66Updated 5 months ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆15Updated 8 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 4 years ago