Alternatives and similar repositories for mup

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

• edwardmilsom / function-space-learning-rates-paper
  Code for the paper "Function-Space Learning Rates"
  ☆23Updated 5 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆171Updated 4 months ago
• wmn-231314 / diffusion-data-constraint
  Official PyTorch implementation and models for paper "Diffusion Beats Autoregressive in Data-Constrained Settings". We find diffusion mod…
  ☆103Updated 2 weeks ago
• thinking-machines-lab / manifolds
  Supporting code for the blog post on modular manifolds.
  ☆101Updated last month
• cloneofsimo / scaling-guide
  WIP
  ☆93Updated last year
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆83Updated 11 months ago
• fal-ai-community / nano-mdm
  Tiny re-implementation of MDM in style of LLaDA and nano-gpt speedrun
  ☆57Updated 8 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆68Updated last year
• RobertCsordas / moeut
  ☆87Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 10 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆193Updated last year
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated last year
• fal-ai / diffusion-speedrun
  Focused on fast experimentation and simplicity
  ☆75Updated 10 months ago
• ethansmith2000 / TransformerExperiments
  ☆19Updated 5 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆84Updated last year
• JinjieNi / dlms-are-super-data-learners
  The official github repo for "Diffusion Language Models are Super Data Learners".
  ☆145Updated last week
• dvruette / gidd
  Code accompanying the paper "Generalized Interpolating Discrete Diffusion"
  ☆108Updated 5 months ago
• cloneofsimo / minVJEPA
  ☆24Updated 5 months ago
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆63Updated last month
• ChenWu98 / algorithmic-creativity
  [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
  ☆72Updated 5 months ago
• minyoungg / LTE
  ☆69Updated last year
• cloneofsimo / zeroshampoo
  ☆34Updated last year
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• cloneofsimo / min-fsdp
  ☆91Updated last year
• cloneofsimo / ezmup
  Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam
  ☆85Updated last year
• CLAIRE-Labo / flash_attention
  A basic pure pytorch implementation of flash attention
  ☆16Updated last year
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 6 months ago
• main-horse / hnet-old
  H-Net Dynamic Hierarchical Architecture
  ☆80Updated 2 months ago
• riverstone496 / awesome-second-order-optimization
  ☆28Updated last month