Alternatives and similar repositories for gpueater

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

• Ingrid725 / Loss-function-summary
  ☆35Updated 3 years ago
• Adonis-galaxy / DepthCLIP
  Official implementation of "Can Language Understand Depth?"
  ☆81Updated 2 years ago
• VITA-Group / Simple3D-Former
  [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…
  ☆61Updated 2 years ago
• ashawkey / chatgpt_please_improve_my_paper_writing
  a thin wrapper of chatgpt for improving paper writing.
  ☆254Updated 2 years ago
• anyirao / latex-conference-template
  Latex template for conference (e.g. ICCV/CVPR) submission/supplementary/rebuttal
  ☆69Updated 2 years ago
• EgoAlpha / Awesome-Egocentric
  ☆45Updated last year
• yzy1996 / Latex
  ☆34Updated 2 years ago
• AILab-CVC / M2PT
  [CVPR'24] Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
  ☆99Updated last year
• THU-LYJ-Lab / AR-Seg
  [CVPR 2023] Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
  ☆50Updated last year
• SuperBruceJia / CVPR-LaTeX-Paper-Template
  These are CVPR Main Paper, Supplementary Materials, and Rebuttal LaTeX templates.
  ☆21Updated 2 years ago
• SiyuanHuang95 / SUG
  [ACM MM23] Pytorch implementation for paper: SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification
  ☆12Updated last year
• Visual-Attention-Network / VAN-Jittor
  ☆34Updated 2 years ago
• guanyingc / cv_rebuttal_template
  ☆251Updated 11 months ago
• elenacliu / pytorch_cuda_driver_compatibilities
  Quick check of compatible versions of PyTorch, Python, CUDA, cuDNN, NVIDIA driver! 实现 PyTorch, Python, CUDA, cuDNN, NVIDIA driver 兼容版本速查！
  ☆34Updated 10 months ago
• zyrant / SPGroup3D
  [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
  ☆41Updated last year
• minfenli / Segment-Anything-CLIP
  Using Segment-Anything and CLIP to generate pixel-aligned semantic features.
  ☆40Updated 2 years ago
• Tianxinhuang / RFNet
  The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion
  ☆21Updated 3 years ago
• megvii-research / US3L-CVPR2023
  PyTorch implementation of US3L (Accepted to CVPR2023)
  ☆32Updated 2 years ago
• Mr-Neko / JM3D
  The offical implemention of JM3D.
  ☆30Updated 3 weeks ago
• qianduoduolr / FGVC
  [ICCV 2023] Learning Fine-Grained Features for Pixel-wise Video Correspondences
  ☆17Updated last year
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆101Updated 10 months ago
• Berry-Wu / Visualization
  visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro
  ☆119Updated 2 years ago
• HLinChen / GNeSF
  ☆37Updated last year
• fanglaosi / Point-In-Context
  [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding
  ☆69Updated 5 months ago
• kunkun0w0 / Clean-Torch-NeRFs
  Clean NeRFs Reproduction using Tiny Lego
  ☆47Updated 2 years ago
• zhaoyucs / VSD
  Code for "Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation"
  ☆27Updated last year
• Ldpe2G / CodingForFun
  Codes For Sharing
  ☆38Updated 4 years ago
• SwinTransformer / AiT
  ☆104Updated last year
• ztyang23 / BACON
  ☆17Updated 9 months ago
• vignywang / SAMFeat
  The official implementation of “Segment Anything Model is a Good Teacher for Local Feature Learning”.
  ☆116Updated last year