Alternatives and similar repositories for interpreto

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

• KempnerInstitute / overcomplete
  👋 Overcomplete is a Vision-based SAE Toolbox
  ☆101Updated 2 weeks ago
• leoandeol / cods
  🐟 CODS - Conformal Object Detection and Segmentation
  ☆19Updated 3 weeks ago
• deel-ai / influenciae
  👋 Influenciae is a Tensorflow Toolbox for Influence Functions
  ☆64Updated last year
• deel-ai / deel-lip
  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
  ☆100Updated 8 months ago
• airbus / decomon
  ☆38Updated 2 months ago
• deel-ai / oodeel
  Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.
  ☆60Updated last month
• AllanYangZhou / universal_neural_functional
  ☆53Updated last year
• deel-ai / deel-torchlip
  Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, see ht…
  ☆35Updated 3 weeks ago
• rbalestr-lab / stable-pretraining
  Reliable, minimal and scalable library for pretraining foundation and world models
  ☆90Updated this week
• deel-ai / orthogonium
  New implementations of old orthogonal layers unlock large scale training.
  ☆23Updated 2 months ago
• maxdreyer / PURE
  Repository for PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits, accepted at CVPR 2024 XAI4CV Works…
  ☆19Updated last year
• clement-bonnet / lpn
  Latent Program Network (from the "Searching Latent Program Spaces" paper)
  ☆105Updated last month
• jacobdunefsky / llm-steering-opt
  Tools for optimizing steering vectors in LLMs.
  ☆14Updated 7 months ago
• deel-ai-papers / conformal-segmentation
  [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation
  ☆26Updated 11 months ago
• deel-ai / Craft
  👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)
  ☆70Updated 2 years ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• imbue-ai / carbs
  Cost aware hyperparameter tuning algorithm
  ☆173Updated last year
• jbloomAus / DecisionTransformerInterpretability
  Interpreting how transformers simulate agents performing RL tasks
  ☆88Updated 2 years ago
• noanabeshima / tinymodel
  A TinyStories LM with SAEs and transcoders
  ☆13Updated 7 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆106Updated 5 months ago
• CLAIRE-Labo / no-representation-no-trust
  Codebase to fully reproduce the results of "No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO" (M…
  ☆29Updated last year
• serre-lab / Lens
  LENS Project
  ☆51Updated last year
• noanabeshima / matryoshka-saes
  ☆24Updated 11 months ago
• LouisRouss / DiffuLab
  DiffuLab is designed to provide a simple and flexible way to train diffusion models while allowing full customization of its core compone…
  ☆40Updated last week
• kvfrans / splus
  ☆119Updated 5 months ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆37Updated last year
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆55Updated 6 months ago
• CLAIRE-Labo / quantile-reward-policy-optimization
  Official codebase for "Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions" (Matrenok …
  ☆27Updated 2 weeks ago
• tristandeleu / gfn-maxent-rl
  Comparison between GFlowNets & Maximum Entropy RL
  ☆19Updated last year
• ApolloResearch / apd
  Attribution-based Parameter Decomposition
  ☆31Updated 5 months ago