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

• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆221Updated last month
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆124Updated 8 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆82Updated 3 years ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆152Updated last month
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated 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 last year
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆163Updated last year
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆87Updated last year
• jxiw / BiGS
  Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE …
  ☆114Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆102Updated 3 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆98Updated last year
• lucidrains / simple-hierarchical-transformer
  Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
  ☆220Updated last year
• berlino / seq_icl
  ☆53Updated last year
• srush / mamba-primer
  ☆37Updated last year
• vvvm23 / mamba-jax
  Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX
  ☆86Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆240Updated 2 months ago
• cloneofsimo / min-fsdp
  ☆87Updated last year
• mgmalek / efficient_cross_entropy
  ☆118Updated last year
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆130Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆81Updated 9 months ago
• Sea-Snell / JAX_llama
  Inference code for LLaMA models in JAX
  ☆118Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• ayaka14732 / llama-2-jax
  JAX implementation of the Llama 2 model
  ☆219Updated last year
• booydar / LM-RMT
  Recurrent Memory Transformer
  ☆150Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• lucidrains / CoLT5-attention
  Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
  ☆229Updated 11 months ago
• shikaiqiu / compute-better-spent
  ☆56Updated 10 months ago
• lucidrains / llama-qrlhf
  Implementation of the Llama architecture with RLHF + Q-learning
  ☆166Updated 6 months ago
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆487Updated last year