Alternatives and similar repositories for maia

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

• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆95Updated 3 months ago
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆31Updated 7 months ago
• EvolvingLMMs-Lab / multimodal-sae
  [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.
  ☆171Updated 3 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆83Updated last year
• pliang279 / HEMM
  Holistic evaluation of multimodal foundation models
  ☆47Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆161Updated 6 months ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆55Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 11 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆41Updated last year
• MadryLab / modelcomponents
  Decomposing and Editing Predictions by Modeling Model Computation
  ☆139Updated last year
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆181Updated 6 months ago
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆74Updated 6 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆65Updated last year
• naver-ai / model-stock
  Model Stock: All we need is just a few fine-tuned models
  ☆128Updated 4 months ago
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆189Updated 8 months ago
• prateeky2806 / ties-merging
  ☆203Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆93Updated last year
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆74Updated 6 months ago
• apple / ml-rpm-bench
  ☆41Updated last year
• stanfordmlgroup / ManyICL
  ☆145Updated last year
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆123Updated last year
• declare-lab / LLM-PuzzleTest
  This repository is maintained to release dataset and models for multimodal puzzle reasoning.
  ☆113Updated 10 months ago
• csinva / tree-prompt
  Tree prompting: easy-to-use scikit-learn interface for improved prompting.
  ☆40Updated 2 years ago
• Wang-ML-Lab / multimodal-needle-in-a-haystack
  [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
  ☆54Updated 7 months ago
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆57Updated last year
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆179Updated last year
• Understanding-Visual-Datasets / VisDiff
  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)
  ☆129Updated last month
• bethgelab / frequency_determines_performance
  Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurI…
  ☆93Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆187Updated last year