Alternatives and similar repositories for neural_networks_chomsky_hierarchy

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

• google-research / meliad
  ☆255Updated 3 months ago
• likenneth / othello_world
  Emergent world representations: Exploring a sequence model trained on a synthetic task
  ☆190Updated 2 years ago
• tech-srl / RASP
  An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
  ☆320Updated last year
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆128Updated 3 years ago
• Sea-Snell / grokking
  unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"
  ☆79Updated 3 years ago
• Sea-Snell / JAXSeq
  Train very large language models in Jax.
  ☆208Updated last year
• google-research / cascades
  Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…
  ☆210Updated 3 months ago
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆163Updated last year
• samacqua / LARC
  Language-annotated Abstraction and Reasoning Corpus
  ☆93Updated 2 years ago
• google-deepmind / tracr
  ☆545Updated last year
• edwardjhu / TP4
  Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)
  ☆62Updated 4 years ago
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• srush / raspy
  An interactive exploration of Transformer programming.
  ☆269Updated last year
• srush / do-we-need-attention
  ☆166Updated 2 years ago
• TomFrederik / unseal
  Mechanistic Interpretability for Transformer Models
  ☆51Updated 3 years ago
• Sea-Snell / JAX_llama
  Inference code for LLaMA models in JAX
  ☆119Updated last year
• probcomp / LLaMPPL
  A domain-specific probabilistic programming language for modeling and inference with language models
  ☆135Updated 4 months ago
• google-deepmind / neural_networks_solomonoff_induction
  Learning Universal Predictors
  ☆79Updated last year
• yashbonde / rasp
  Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.
  ☆58Updated 4 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆68Updated 2 years ago
• irregular-rhomboid / EAI-Math-Reading-Group
  Resources from the EleutherAI Math Reading Group
  ☆54Updated 6 months ago
• lee-ny / teaching_arithmetic
  ☆83Updated 2 years ago
• davisyoshida / lorax
  LoRA for arbitrary JAX models and functions
  ☆142Updated last year
• google / flaxformer
  ☆361Updated last year
• victorvikram / ConceptARC
  Materials for ConceptARC paper
  ☆102Updated 10 months ago
• nostalgebraist / transformer-utils
  Utilities for the HuggingFace transformers library
  ☆71Updated 2 years ago
• google-deepmind / transformer_grammars
  Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)
  ☆129Updated 2 months ago
• srush / annotated-s4
  Implementation of https://srush.github.io/annotated-s4
  ☆502Updated 2 months ago
• aks2203 / deep-thinking
  A centralized place for deep thinking code and experiments
  ☆86Updated 2 years ago
• KindXiaoming / BIMT
  Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.
  ☆173Updated 2 years ago