koayon / awesome-adaptive-computation
A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
☆144Updated 4 months ago
Alternatives and similar repositories for awesome-adaptive-computation
Users that are interested in awesome-adaptive-computation are comparing it to the libraries listed below
Sorting:
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆189Updated 11 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆161Updated last year
- Understand and test language model architectures on synthetic tasks.☆195Updated 2 months ago
- Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch☆168Updated 4 months ago
- Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"☆232Updated 2 months ago
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆120Updated last week
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆411Updated last year
- ☆171Updated 3 weeks ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆124Updated 8 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆158Updated 10 months ago
- ☆125Updated last year
- ☆177Updated last year
- ☆92Updated 7 months ago
- Code for studying the super weight in LLM☆100Updated 5 months ago
- ☆129Updated last month
- ☆68Updated 10 months ago
- ☆97Updated 10 months ago
- ☆257Updated last year
- Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters☆126Updated 5 months ago
- ☆78Updated 8 months ago
- nanoGPT-like codebase for LLM training☆94Updated last month
- The official repo for "LLoCo: Learning Long Contexts Offline"☆116Updated 11 months ago
- ☆60Updated last year
- ☆43Updated last year
- EvaByte: Efficient Byte-level Language Models at Scale☆97Updated 3 weeks ago
- ☆189Updated this week
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆154Updated last month
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 4 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆54Updated 7 months ago
- [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models☆219Updated last week