Alternatives and similar repositories for do-we-need-attention

Users that are interested in do-we-need-attention are comparing it to the libraries listed below

• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆252Updated last month
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆137Updated last year
• lucidrains / pause-transformer
  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 2 years ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆138Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 3 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆187Updated 3 weeks ago
• lucidrains / simple-hierarchical-transformer
  Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
  ☆224Updated last year
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆86Updated 2 years ago
• jxiw / BiGS
  Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …
  ☆116Updated last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• cloneofsimo / min-fsdp
  ☆92Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆89Updated last year
• berlino / seq_icl
  ☆53Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆198Updated last year
• lucidrains / llama-qrlhf
  Implementation of the Llama architecture with RLHF + Q-learning
  ☆170Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆46Updated 2 years ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆248Updated 8 months ago
• lucidrains / CoLT5-attention
  Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
  ☆231Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• srush / LLM-Talk
  ☆53Updated 2 years ago
• dvruette / barrel-rec-pytorch
  ☆53Updated 2 years ago
• ayaka14732 / llama-2-jax
  JAX implementation of the Llama 2 model
  ☆216Updated 2 years ago
• davisyoshida / lorax
  LoRA for arbitrary JAX models and functions
  ☆145Updated last year
• srush / mamba-primer
  ☆39Updated last year
• Sea-Snell / JAXSeq
  Train very large language models in Jax.
  ☆210Updated 2 years ago
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated last year
• hadasah / btm
  ☆77Updated last year