Alternatives and similar repositories for LossLandscape

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

• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• preetum / cifar5m
  CIFAR-5m dataset
  ☆39Updated 4 years ago
• apple / learning-subspaces
  ☆133Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• hlml / fortuitous_forgetting
  ☆19Updated 3 years ago
• google-research / understanding-transfer-learning
  ☆45Updated 4 years ago
• gibipara92 / learning-explanations-hard-to-vary
  Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …
  ☆40Updated 4 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆83Updated 3 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• js-d / sim_metric
  ☆37Updated last year
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆158Updated last year
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆160Updated last year
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• uber-research / GTN
  ☆78Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 3 months ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• ContinualAI / wiki
  ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning
  ☆48Updated 3 years ago
• sayakpaul / par-cvpr-21
  Contains notebooks for the PAR tutorial at CVPR 2021.
  ☆36Updated 4 years ago
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆65Updated 2 months ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆48Updated last year
• hsouri / BayesianTransferLearning
  ☆108Updated 2 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆126Updated last year