Alternatives and similar repositories for iclr24_blog_code:

Users that are interested in iclr24_blog_code are comparing it to the libraries listed below

• tanelp / confviews
  Generate bird's-eye views of conference proceedings.
  ☆23Updated 3 months ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated 11 months ago
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆27Updated 8 months ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆33Updated 10 months ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆28Updated 2 years ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆23Updated 2 months ago
• sayakpaul / big_vision_experiments
  Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
  ☆22Updated 2 years ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆50Updated 2 years ago
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆27Updated 2 years ago
• ravidziv / SimplifyingImbalancedTraining
  ☆8Updated last year
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• Lightning-Universe / paper-AAVAE
  ☆47Updated 2 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• y0ast / pytorch-snippets
  Collection of snippets for PyTorch users
  ☆25Updated 3 years ago
• fattorib / Flax-ResNets
  CIFAR10 ResNets implemented in JAX+Flax
  ☆12Updated 2 years ago
• lucidrains / hl-gauss-pytorch
  The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch
  ☆57Updated last month
• f-dangel / singd
  [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)
  ☆21Updated 4 months ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆41Updated 5 months ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆71Updated 2 years ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆98Updated 2 years ago
• ethansmith2000 / MazeSolver
  ☆11Updated 10 months ago
• AshishKumar4 / FlaxDiff
  A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with sim…
  ☆23Updated last week
• google-deepmind / eigengame
  Open source code for EigenGame.
  ☆30Updated last year
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆108Updated 2 years ago
• fKunstner / noise-sgd-adam-sign
  ☆16Updated last year
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆24Updated 5 months ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago