IdoAmos / not-from-scratchLinks
☆33Updated 10 months ago
Alternatives and similar repositories for not-from-scratch
Users that are interested in not-from-scratch are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆66Updated last year
- Official PyTorch Implementation of the Longhorn Deep State Space Model☆54Updated 8 months ago
- ☆91Updated last year
- Stick-breaking attention☆59Updated last month
- 📄Small Batch Size Training for Language Models☆43Updated this week
- Parallelizing non-linear sequential models over the sequence length☆53Updated 2 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆81Updated 9 months ago
- ☆49Updated last year
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆124Updated last week
- ☆56Updated last year
- ☆85Updated last year
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆55Updated last year
- [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"☆70Updated 6 months ago
- Self-Supervised Alignment with Mutual Information☆21Updated last year
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated 3 months ago
- ☆37Updated last year
- ☆31Updated 9 months ago
- Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)☆65Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆30Updated last year
- ☆53Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- The official implementation of Self-Exploring Language Models (SELM)☆64Updated last year
- Code for "Theoretical Foundations of Deep Selective State-Space Models" (NeurIPS 2024)☆15Updated 7 months ago
- Reinforcing General Reasoning without Verifiers☆80Updated 2 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 4 months ago
- ☆27Updated last year
- Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…☆27Updated 2 years ago
- Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…☆53Updated last year
- Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…☆114Updated 11 months ago