Alternatives and similar repositories for vision-transformer-from-scratch

Users that are interested in vision-transformer-from-scratch are comparing it to the libraries listed below

• NielsRogge / Vision-Transformer-papers
  This repository contains an overview of important follow-up works based on the original Vision Transformer (ViT) by Google.
  ☆184Updated 3 years ago
• BrianPulfer / PapersReimplementations
  Personal short implementations of Machine Learning papers
  ☆249Updated last year
• Animadversio / DiffusionFromScratch
  Rebuild the Stable Diffusion Model in a single python script. Tutorial for Harvard ML from Scratch Series
  ☆217Updated 9 months ago
• hkproj / pytorch-lora
  LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
  ☆117Updated 2 years ago
• p-giakoumoglou / pyssl
  Self-Supervised Learning in PyTorch
  ☆142Updated last year
• jankrepl / mildlyoverfitted
  Paper implementations from scratch and machine learning tutorials
  ☆348Updated last year
• HHU-MMBS / RepresentationLearning_SS2023
  Representation Learning MSc course Summer Semester 2023
  ☆84Updated 2 years ago
• rasbt / cvpr2023
  ☆134Updated 2 years ago
• Khaliladib11 / Transformer-from-scratch
  I will build Transformer from scratch
  ☆86Updated 3 months ago
• slds-lmu / seminar_multimodal_dl
  https://slds-lmu.github.io/seminar_multimodal_dl/
  ☆171Updated 2 years ago
• PeaBrane / mamba-tiny
  Simple, minimal implementation of the Mamba SSM in one pytorch file. Using logcumsumexp (Heisen sequence).
  ☆126Updated last year
• hkproj / quantization-notes
  Notes on quantization in neural networks
  ☆105Updated last year
• PrincetonUniversity / multi_gpu_training
  ☆360Updated 2 months ago
• s-chh / PyTorch-Scratch-Vision-Transformer-ViT
  Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common data…
  ☆147Updated 3 months ago
• shervinmin / awesome-deep-learning-survey-papers
  In this page, I will provide a list of survey papers on topics related to deep learning and its applications in various fields.
  ☆126Updated last year
• jacobmarks / awesome-neurips-2023
  Conference schedule, top papers, and analysis of the data for NeurIPS 2023!
  ☆121Updated last year
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆490Updated last year
• jsbaan / transformer-from-scratch
  Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
  ☆270Updated last year
• AviSoori1x / seemore
  From scratch implementation of a vision language model in pure PyTorch
  ☆248Updated last year
• sayakpaul / probing-vits
  Probing the representations of Vision Transformers.
  ☆335Updated 3 years ago
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆176Updated 3 years ago
• gmongaras / Diffusion_models_from_scratch
  Creating a diffusion model from scratch in PyTorch to learn exactly how they work.
  ☆385Updated 7 months ago
• hkproj / multi-latent-attention
  ☆45Updated 5 months ago
• FilippoMB / Diffusion_models_tutorial
  Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering…
  ☆142Updated 8 months ago
• nerminnuraydogan / vision-transformer
  Vision Transformer explanation and implementation with PyTorch
  ☆67Updated 2 years ago
• sovit-123 / vision_transformers
  Vision Transformers for image classification, image segmentation, and object detection.
  ☆62Updated 2 weeks ago
• tmabraham / diffusion_reading_group
  Diffusion Reading Group at EleutherAI
  ☆324Updated 2 years ago
• spfrommer / torchexplorer
  Interactively inspect module inputs, outputs, parameters, and gradients.
  ☆353Updated 6 months ago
• eduardoleao052 / Autograd-from-scratch
  Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
  ☆122Updated last year
• kuleshov-group / dgm-resources
  ☆54Updated last year