Alternatives and similar repositories for opda

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

• genlm / llamppl
  Probabilistic programming with large language models
  ☆154Updated last month
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆131Updated 3 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆70Updated 3 years ago
• srush / torch-golf
  Silly twitter torch implementations.
  ☆46Updated 3 years ago
• yashbonde / rasp
  Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
  ☆59Updated last month
• joshuacnf / paradox-learning2reason
  ☆37Updated last year
• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆138Updated 7 months ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆81Updated 3 years ago
• Silent-Zebra / twisted-smc-lm
  ☆31Updated 8 months ago
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆63Updated 4 years ago
• dpaleka / cross-entropy-for-combinatorics
  Code accompanying the manuscript "Constructions in combinatorics via neural networks and LP solvers".
  ☆19Updated 4 years ago
• modula-systems / modula
  🧱 Modula software package
  ☆316Updated 4 months ago
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆98Updated 2 years ago
• april-tools / cirkit
  a python framework to build, learn and reason about probabilistic circuits and tensor networks
  ☆129Updated last week
• Tractables / pyjuice
  Scalable training and inference for Probabilistic Circuits
  ☆89Updated this week
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆24Updated 2 years ago
• blei-lab / circuitry
  ☆14Updated last year
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆212Updated last year
• teddykoker / grokking
  PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆38Updated 4 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆60Updated 3 years ago
• srush / anynp
  Proof-of-concept of global switching between numpy/jax/pytorch in a library.
  ☆18Updated last year
• aadityasingh / icl-dynamics
  ☆24Updated 8 months ago
• redwoodresearch / interp
  Redwood Research's transformer interpretability tools
  ☆14Updated 3 years ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆248Updated last year
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• apple / ml-np-rasp
  ☆20Updated last year
• watcl-lab / neural_networks_and_computation
  Computational abilities and efficiency of neural networks
  ☆56Updated 5 months ago
• google-deepmind / nanodo
  ☆285Updated last year
• timaeus-research / devinterp
  Tools for studying developmental interpretability in neural networks.
  ☆117Updated 5 months ago
• marin-community / haliax
  Named Tensors for Legible Deep Learning in JAX
  ☆215Updated last month