Alternatives and similar repositories for pygln:

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

• srush / parallax
  ☆153Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 4 years ago
• uber-research / GTN
  ☆77Updated 4 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 8 months ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆184Updated last year
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆189Updated 2 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• facebookresearch / GraphLog
  API for accessing the GraphLog dataset
  ☆88Updated 10 months ago
• agarwl / neural_additive_models
  Repo for open sourcing the NAMs.
  ☆25Updated 4 years ago
• viking-sudo-rm / stacknn-core
  Pip-installable differentiable stacks in PyTorch!
  ☆65Updated 4 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• rdturnermtl / bbo_challenge_starter_kit
  Starter kit for the black box optimization challenge at Neurips 2020
  ☆114Updated 4 years ago
• devzhk / Implicit-Competitive-Regularization
  Code for: Implicit Competitive Regularization in GANs
  ☆114Updated 3 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 4 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆146Updated 7 months ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 3 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• sayakpaul / Sharpness-Aware-Minimization-TensorFlow
  Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
  ☆60Updated 3 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆84Updated 3 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• nvecoven / BRC
  A repository containing the code for the Bistable Recurrent Cell
  ☆47Updated 4 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 6 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated 9 months ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated last year
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆289Updated 4 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆42Updated 5 years ago
• facebookresearch / rlstructures
  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…
  ☆260Updated 2 years ago