Alternatives and similar repositories for llamppl

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

• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆132Updated 3 months ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆128Updated 2 years ago
• keyonvafa / world-model-evaluation
  ☆62Updated 8 months ago
• Silent-Zebra / twisted-smc-lm
  ☆30Updated 4 months ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆247Updated last year
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆68Updated 2 years ago
• victorvikram / ConceptARC
  Materials for ConceptARC paper
  ☆98Updated 9 months ago
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆78Updated last year
• modula-systems / modula
  🧱 Modula software package
  ☆216Updated 2 weeks ago
• KihoPark / LLM_Categorical_Hierarchical_Representations
  ☆104Updated 6 months ago
• google-deepmind / mishax
  ☆136Updated 4 months ago
• benlipkin / decoding
  Composable inference algorithms with LLMs and programmable logic
  ☆70Updated 8 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆59Updated last year
• kanishkg / synchromesh
  Get language models to generate responses in a specific format reliably. Open source implementation of Synchromesh: Reliable code generat…
  ☆29Updated last year
• KhoomeiK / complexity-scaling
  gzip Predicts Data-dependent Scaling Laws
  ☆35Updated last year
• gpoesia / peano
  An environment for learning formal mathematical reasoning from scratch
  ☆72Updated 11 months ago
• ellisk42 / humanlike_fewshot_learning
  ☆29Updated last year
• harmonic-ai / datasets
  Harmonic Datasets
  ☆45Updated last year
• cmu-l3 / ntptutorial-II
  Neural theorem proving tutorial, version II
  ☆38Updated last year
• joshuacnf / Ctrl-G
  ☆88Updated 7 months ago
• microsoft / mechanistic-error-probe
  A mechanistic approach for understanding and detecting factual errors of large language models.
  ☆47Updated last year
• google-deepmind / synjax
  ☆247Updated last month
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 8 months ago
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• gabegrand / world-models
  ☆209Updated 2 years ago
• EleutherAI / concept-erasure
  Erasing concepts from neural representations with provable guarantees
  ☆232Updated 6 months ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆102Updated 2 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆123Updated 7 months ago
• likenneth / othello_world
  Emergent world representations: Exploring a sequence model trained on a synthetic task
  ☆186Updated 2 years ago
• DAIOS-AI / mindscript
  A programming language for formal/informal computation.
  ☆41Updated last week