Alternatives and similar repositories for looped_transformer

Users that are interested in looped_transformer are comparing it to the libraries listed below

• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆86Updated last year
• berlino / seq_icl
  ☆53Updated last year
• RobertCsordas / moeut
  ☆91Updated last year
• DeqingFu / transformers-icl-second-order
  Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…
  ☆20Updated last year
• jysohn1108 / Looped-Transformer
  Official implementation of the transformer (TF) architecture suggested in a paper entitled "Looped Transformers as Programmable Computers…
  ☆29Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆181Updated 6 months ago
• LIONS-EPFL / scion
  ☆50Updated last week
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆18Updated last year
• lee-ny / teaching_arithmetic
  ☆84Updated 2 years ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last month
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆62Updated 5 months ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆38Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated last month
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• zyushun / hessian-spectrum
  Code for the paper: Why Transformers Need Adam: A Hessian Perspective
  ☆63Updated 9 months ago
• gregorbachmann / Next-Token-Failures
  ☆107Updated last year
• MadryLab / DsDm
  ☆51Updated last year
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆32Updated 5 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• lmsdss / LayerNorm-Scaling
  Official Pytorch Implementation of "The Curse of Depth in Large Language Models" by Wenfang Sun, Xinyuan Song, Pengxiang Li, Lu Yin,Yefen…
  ☆64Updated 3 weeks ago
• srush / mamba-primer
  ☆38Updated last year
• IdoAmos / not-from-scratch
  ☆33Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 11 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆30Updated 2 months ago
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆218Updated last year
• adamkarvonen / SAE_BoardGameEval
  ☆23Updated 10 months ago
• HKUNLP / diffusion-vs-ar
  [ICLR 2025] Code for the paper "Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning"
  ☆86Updated 10 months ago
• machine-discovery / deer
  Parallelizing non-linear sequential models over the sequence length
  ☆56Updated 6 months ago