Alternatives and similar repositories for grounding-inductive-biases

Users that are interested in grounding-inductive-biases are comparing it to the libraries listed below

• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated last year
• sayakpaul / BiT-jax2tf
  This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.
  ☆14Updated 3 years ago
• sayakpaul / parameter-ensemble-differential-evolution
  Shows how to do parameter ensembling using differential evolution.
  ☆10Updated 3 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆19Updated 4 years ago
• Holmeswww / PPOGAN
  ☆24Updated last year
• titu1994 / tf_GON
  Tensorflow 2.x implementation of Gradient Origin Networks
  ☆12Updated 4 years ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆27Updated 7 months ago
• AranKomat / Metroplex
  ☆21Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated 2 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 5 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• NZ99 / transformer_in_transformer_flax
  ☆21Updated 4 years ago
• CHARM-Tx / linear_mem_attention_pytorch
  Unofficially Implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention for PyTorch
  ☆12Updated 3 years ago
• sayakpaul / big_vision_experiments
  Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
  ☆22Updated 2 years ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 4 years ago
• lucidrains / all-normalization-transformer
  A simple Transformer where the softmax has been replaced with normalization
  ☆20Updated 4 years ago
• tchaton / pytorch2lightning
  ☆15Updated 3 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…
  ☆51Updated 3 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 2 years ago
• nshepperd / jaxtorch
  A JAX nn library
  ☆21Updated 3 months ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆18Updated 7 months ago
• stanislavfort / OpenAI_CLIP_adversarial_examples
  Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
  ☆26Updated 4 years ago
• lucidrains / local-attention-flax
  Local Attention - Flax module for Jax
  ☆22Updated 4 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• lucidrains / remixer-pytorch
  Implementation of the Remixer Block from the Remixer paper, in Pytorch
  ☆36Updated 3 years ago
• ravidziv / SimplifyingImbalancedTraining
  ☆8Updated last year