Alternatives and similar repositories for Adan

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

• lucidrains / ema-pytorch
  A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
  ☆616Updated 10 months ago
• locuslab / convmixer
  Implementation of ConvMixer for "Patches Are All You Need? 🤷"
  ☆1,077Updated 2 years ago
• SHI-Labs / Neighborhood-Attention-Transformer
  Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
  ☆1,146Updated last year
• sail-sg / poolformer
  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
  ☆1,355Updated last year
• lucidrains / linear-attention-transformer
  Transformer based on a variant of attention that is linear complexity in respect to sequence length
  ☆801Updated last year
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆819Updated 3 years ago
• facebookresearch / ToMe
  A method to increase the speed and lower the memory footprint of existing vision transformers.
  ☆1,110Updated last year
• lucidrains / mlp-mixer-pytorch
  An All-MLP solution for Vision, from Google AI
  ☆1,048Updated 3 months ago
• google-research / vmoe
  ☆682Updated 2 months ago
• fadel / pytorch_ema
  Tiny PyTorch library for maintaining a moving average of a collection of parameters.
  ☆438Updated last year
• google-research / pix2seq
  Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
  ☆930Updated last year
• lucidrains / lion-pytorch
  🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
  ☆2,166Updated 10 months ago
• lucidrains / memory-efficient-attention-pytorch
  Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
  ☆383Updated 2 years ago
• lucidrains / rotary-embedding-torch
  Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
  ☆766Updated 2 months ago
• snap-research / EfficientFormer
  EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
  ☆1,081Updated 2 years ago
• Tony-Y / pytorch_warmup
  Learning Rate Warmup in PyTorch
  ☆413Updated 4 months ago
• lucidrains / x-clip
  A concise but complete implementation of CLIP with various experimental improvements from recent papers
  ☆716Updated 2 years ago
• lucidrains / linformer
  Implementation of Linformer for Pytorch
  ☆299Updated last year
• facebookresearch / ConvNeXt-V2
  Code release for ConvNeXt V2 model
  ☆1,853Updated last year
• microsoft / FocalNet
  [NeurIPS 2022] Official code for "Focal Modulation Networks"
  ☆741Updated last year
• davda54 / sam
  SAM: Sharpness-Aware Minimization (PyTorch)
  ☆1,925Updated last year
• google-research / sam
  ☆605Updated 2 months ago
• lessw2020 / Ranger21
  Ranger deep learning optimizer rewrite to use newest components
  ☆338Updated last year
• SHI-Labs / Compact-Transformers
  Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
  ☆536Updated 11 months ago
• facebookresearch / moco-v3
  PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
  ☆1,298Updated 3 years ago
• sail-sg / metaformer
  MetaFormer Baselines for Vision (TPAMI 2024)
  ☆492Updated last year
• bytedance / ibot
  iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
  ☆748Updated 3 years ago
• microsoft / Cream
  This is a collection of our NAS and Vision Transformer work.
  ☆1,806Updated last year
• google-research / maxvit
  [ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmen…
  ☆487Updated 2 years ago
• Newbeeer / Poisson_flow
  Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
  ☆866Updated 2 years ago