Alternatives and similar repositories for neuro-cartography:

Users that are interested in neuro-cartography are comparing it to the libraries listed below

• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆19Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• poloclub / bluff
  Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
  ☆23Updated last year
• eamid / examples
  A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap
  ☆29Updated 2 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆9Updated last year
• lawrennd / neurips2014
  Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.
  ☆11Updated 8 months ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• vsahil / MIMETIC-2
  Official Code for MIMETIC^2
  ☆12Updated 2 months ago
• bethgelab / testing_visualizations
  Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"
  ☆10Updated 3 years ago
• ganguli-lab / degrees-of-freedom
  ☆36Updated 3 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 4 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• SuReLI / NeurOps
  Implementations of growing and pruning in neural networks
  ☆22Updated last year
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 4 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆35Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆55Updated last year
• js-d / sim_metric
  ☆35Updated last year
• gifford-lab / overinterpretation
  Code for Overinterpretation paper
  ☆19Updated last year
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆17Updated 4 years ago
• RandallBalestriero / SplineLLM
  ☆15Updated last year
• jxbz / entropix
  📰 Computing the information content of trained neural networks
  ☆21Updated 3 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 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• hlml / fortuitous_forgetting
  ☆19Updated 2 years ago
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated last year
• stanislavfort / OpenAI_CLIP_adversarial_examples
  Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
  ☆26Updated 3 years ago
• HazyResearch / ludwig-benchmarking-toolkit
  Ludwig benchmark
  ☆20Updated 2 years ago