Alternatives and similar repositories for zeroc

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

• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆28Updated 5 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• thuwzy / Neural-Symbolic-and-Probabilistic-Logic-Papers
  A curated paper list on neural symbolic and probabilistic logic.
  ☆130Updated 2 years ago
• ethz-spylab / superhuman-ai-consistency
  ☆30Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆106Updated 2 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 2 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• ema-marconato / glancenet
  Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models
  ☆25Updated 2 years ago
• google-deepmind / ssl_hsic
  ☆38Updated last year
• ekinakyurek / google-research
  Google Research
  ☆46Updated 3 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• belindal / LaMPP
  Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action
  ☆37Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆16Updated 9 months ago
• pietrobarbiero / logic_explained_networks
  Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
  ☆52Updated 2 years ago
• joshuacnf / paradox-learning2reason
  ☆36Updated 11 months ago
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• ml-research / NeSyXIL
  ☆34Updated 4 years ago
• linlu-qiu / lm-inductive-reasoning
  ☆33Updated 2 years ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆87Updated 2 years ago
• ema-marconato / reasoning-shortcuts
  Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
  ☆22Updated last year
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• allenbai01 / transformers-as-statisticians
  ☆34Updated 2 years ago
• SamsungSAILMontreal / ghn3
  Code for "Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?" [ICML 2023]
  ☆37Updated last year
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆13Updated 2 years ago