Alternatives and similar repositories for wandb-utils:

Users that are interested in wandb-utils are comparing it to the libraries listed below

• captain-pool / hydra-wandb-sweeper
  WandB sweeps integration with Hydra sweeper
  ☆47Updated last year
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆53Updated 3 weeks ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• sciai-lab / cl-tsne-umap
  ☆33Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago
• Lightning-Universe / Research-template
  Quickest way to share everything about your research within a single app
  ☆38Updated 5 months ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated 2 years ago
• ansuini / IntrinsicDimDeep
  Code for the intrinsic dimensionality estimate of data representations
  ☆79Updated 5 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• ppope / dimensions
  Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J
  ☆68Updated 11 months ago
• allenai / beaker-py
  A pure-Python Beaker client
  ☆14Updated last month
• arrigonialberto86 / set_transformer
  A TensorFlow implementation of the paper 'Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks'
  ☆31Updated 11 months ago
• Genentech / dcdfg
  ☆24Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆19Updated 2 years ago
• MadryLab / glm_saga
  Minimal, standalone library for solving GLMs in PyTorch
  ☆25Updated 3 years ago
• pengzhenghao / use-ray-with-slurm
  A brief tutorial on how to use ray/rllib/tun in slurm cluster.
  ☆33Updated 4 years ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated last year
• iamalexkorotin / Wasserstein2Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
  ☆39Updated 2 years ago
• stanislavfort / adversaries_to_OOD_detection
  ☆12Updated last year
• pytorch / maskedtensor
  MaskedTensors for PyTorch
  ☆39Updated 2 years ago
• lapalap / B-LRP
  B-LRP is the repository for the paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
  ☆18Updated 2 years ago
• tjiagoM / gtex-transcriptome-modelling
  Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
  ☆11Updated 3 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• hchau630 / LSC
  Code for the paper "Disentangling images with Lie group transformations and sparse coding" (2023). https://proceedings.mlr.press/v197/cha…
  ☆13Updated 3 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• jejjohnson / research_journal
  My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
  ☆32Updated 2 years ago
• PierreBoyeau / decision-making-vaes
  ☆19Updated 3 years ago