Alternatives and similar repositories for awesome-adaptive-computation

Users that are interested in awesome-adaptive-computation are comparing it to the libraries listed below

• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆192Updated last year
• FasterDecoding / BitDelta
  ☆202Updated 9 months ago
• minyoungg / LTE
  ☆69Updated last year
• HanGuo97 / lq-lora
  ☆128Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆162Updated 2 months ago
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆229Updated 4 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆225Updated 2 months ago
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆179Updated 3 months ago
• ScalingIntelligence / large_language_monkeys
  ☆104Updated 11 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆117Updated 9 months ago
• BorealisAI / flora-opt
  This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.
  ☆104Updated last year
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆171Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 3 months ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆161Updated 5 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆217Updated last year
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆178Updated last year
• llm-random / llm-random
  ☆196Updated 2 weeks ago
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• google-deepmind / asyncdiloco
  ☆46Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆179Updated last year
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆128Updated last year
• RobertCsordas / moeut
  ☆85Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆225Updated this week
• JacobPfau / fillerTokens
  ☆72Updated last year
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆31Updated 2 months ago
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆176Updated 5 months ago
• da03 / Internalize_CoT_Step_by_Step
  ☆190Updated 5 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆129Updated 9 months ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆107Updated 4 months ago
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆203Updated 11 months ago