google-deepmind / neural_networks_chomsky_hierarchyLinks
Neural Networks and the Chomsky Hierarchy
☆205Updated last year
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
Sorting:
- ☆534Updated last year
- An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"☆310Updated 8 months ago
- [NeurIPS 2023] Learning Transformer Programs☆161Updated last year
- Resources from the EleutherAI Math Reading Group☆53Updated 3 months ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆78Updated 2 years ago
- Mechanistic Interpretability for Transformer Models☆51Updated 3 years ago
- Language-annotated Abstraction and Reasoning Corpus☆86Updated 2 years ago
- ☆82Updated last year
- Train very large language models in Jax.☆204Updated last year
- Materials for ConceptARC paper☆94Updated 6 months ago
- ☆66Updated 2 years ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆190Updated last year
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆181Updated last year
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆208Updated 4 months ago
- ☆166Updated last year
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆187Updated 2 years ago
- An interactive exploration of Transformer programming.☆264Updated last year
- ☆256Updated 2 years ago
- Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.☆53Updated 3 years ago
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆134Updated last year
- Named Tensors for Legible Deep Learning in JAX☆176Updated last month
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆58Updated last year
- Inference code for LLaMA models in JAX☆117Updated last year
- Understand and test language model architectures on synthetic tasks.☆197Updated 2 months ago
- seqax = sequence modeling + JAX☆155Updated last month
- Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale, TACL (2022)☆126Updated 7 months ago
- See the issue board for the current status of active and prospective projects!☆65Updated 3 years ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆126Updated 2 years ago
- ☆121Updated last year
- 🧱 Modula software package☆194Updated 2 months ago