Alternatives and similar repositories for GTN:

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

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated 9 months ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 4 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 4 years ago
• uvm-neurobotics-lab / ANML
  A Neuromodulated Meta-Learning algorithm
  ☆115Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated 10 months ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• ContinualAI / wiki
  ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
  ☆49Updated 2 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 2 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆123Updated last year
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆84Updated 3 years ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• willwhitney / reprieve
  A library for evaluating representations.
  ☆76Updated 3 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• ContinualAI / website-old
  ContinualAI Jekyll website - NOW DEPRECATED
  ☆28Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• 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
• nd7141 / icml2020
  Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.
  ☆56Updated 4 years ago
• bamos / HowToTrainYourMAMLPytorch
  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…
  ☆41Updated 4 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated last year
• acmi-lab / papers-worth-reading
  A Curated Set of Papers Actually Worth Reading
  ☆26Updated 3 years ago
• xingchenwan / MLRG_DeepCurvature
  ☆15Updated 5 years ago
• lilianweng / generalization-experiment
  TBA
  ☆75Updated 6 years ago
• TLESORT / Continual_Learning_Data_Former
  A pytorch compatible data loader to create sequence of tasks for Continual Learning
  ☆33Updated 5 years ago