The official repository for our paper "The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization".
☆34Jun 11, 2025Updated 11 months ago
Alternatives and similar repositories for ndr
Users that are interested in ndr are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Paper: Lexicon Learning for Few-Shot Neural Sequence Modeling☆16Jan 8, 2022Updated 4 years ago
- sigma-MoE layer☆21Jan 5, 2024Updated 2 years ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Oct 9, 2022Updated 3 years ago
- Paper: Learning to Recombine and Resample Data for Compositional Generalization☆11Oct 9, 2020Updated 5 years ago
- Datasets for compositional learning☆11Nov 28, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆29May 4, 2024Updated 2 years ago
- ☆11Jul 25, 2021Updated 4 years ago
- HGRN2: Gated Linear RNNs with State Expansion☆57Aug 20, 2024Updated last year
- [ACL 2021 Findings] HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction☆10Sep 16, 2021Updated 4 years ago
- ☆11Jan 2, 2022Updated 4 years ago
- ☆41Jan 11, 2021Updated 5 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Oct 30, 2021Updated 4 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆17Nov 9, 2021Updated 4 years ago
- Code for the paper "Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns"☆18Mar 15, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …☆16Jun 11, 2025Updated 11 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Apr 17, 2024Updated 2 years ago
- Experiments learning the even-parity dataset with MPS (tensor trains)☆24Nov 1, 2023Updated 2 years ago
- ☆16Aug 14, 2022Updated 3 years ago
- ☆29Nov 30, 2021Updated 4 years ago
- Factor Graph Grammars in Python☆13Jan 17, 2026Updated 4 months ago
- Official Code Repository for the paper "Key-value memory in the brain"☆32Feb 25, 2025Updated last year
- ☆16Dec 9, 2023Updated 2 years ago
- ☆16Mar 22, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- source code of COLING2020 "Second-Order Unsupervised Neural Dependency Parsing"☆16Oct 24, 2022Updated 3 years ago
- [EMNLP 2023] Official implementation of the algorithm ETSC: Exact Toeplitz-to-SSM Conversion our EMNLP 2023 paper - Accelerating Toeplitz…☆14Oct 17, 2023Updated 2 years ago
- Distributional Generalization in NLP. A roadmap.☆87Dec 12, 2022Updated 3 years ago
- Combining SOAP and MUON☆22Feb 11, 2025Updated last year
- Official repository for the paper "Exploring the Promise and Limits of Real-Time Recurrent Learning" (ICLR 2024)☆13Jun 11, 2025Updated 11 months ago
- u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…☆19Jul 2, 2020Updated 5 years ago
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆70Sep 19, 2021Updated 4 years ago
- Code for the paper: https://arxiv.org/pdf/2309.06979.pdf☆21Jul 29, 2024Updated last year
- Efficient PScan implementation in PyTorch☆17Jan 2, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆45Oct 11, 2021Updated 4 years ago
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆39Jun 11, 2025Updated 11 months ago
- The Return of Lexical Dependencies: Neural Lexicalized PCFGs (TACL)☆33Sep 22, 2025Updated 8 months ago
- Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper☆22Jul 14, 2024Updated last year
- Code for the paper "Query-Key Normalization for Transformers"☆53Mar 6, 2021Updated 5 years ago
- Mobilint Model Zoo Project☆20May 21, 2026Updated last week
- Triton Implementation of HyperAttention Algorithm☆48Dec 11, 2023Updated 2 years ago