Alternatives and similar repositories for flip

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

• fundamentalvision / Uni-Perceiver
  ☆276Updated 2 years ago
• Sense-GVT / DeCLIP
  Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
  ☆655Updated 2 years ago
• gaopengcuhk / CLIP-Adapter
  ☆529Updated 2 years ago
• raoyongming / DenseCLIP
  [CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
  ☆535Updated last year
• ucasligang / awesome-MIM
  Reading list for research topics in Masked Image Modeling
  ☆333Updated 5 months ago
• LTH14 / mage
  A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
  ☆564Updated 2 years ago
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆280Updated last year
• taoyang1122 / adapt-image-models
  [ICLR'23] AIM: Adapting Image Models for Efficient Video Action Recognition
  ☆293Updated last year
• LightDXY / FT-CLIP
  CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet
  ☆216Updated 2 years ago
• amirbar / visual_prompting
  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
  ☆310Updated last year
• Alpha-VL / ConvMAE
  ConvMAE: Masked Convolution Meets Masked Autoencoders
  ☆505Updated 2 years ago
• gaopengcuhk / Tip-Adapter
  ☆618Updated last year
• chongzhou96 / MaskCLIP
  Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
  ☆444Updated 2 years ago
• NVlabs / GroupViT
  Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
  ☆760Updated 3 years ago
• microsoft / UniCL
  [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"
  ☆399Updated last year
• google-research / syn-rep-learn
  Learning from synthetic data - code and models
  ☆315Updated last year
• YuchenLiu98 / COMM
  Pytorch code for paper From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
  ☆198Updated 4 months ago
• amazon-science / prompt-pretraining
  Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"
  ☆257Updated last year
• xmed-lab / CLIP_Surgery
  CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
  ☆422Updated 3 months ago
• bytedance / ibot
  iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
  ☆727Updated 3 years ago
• tsb0601 / MMVP
  ☆334Updated last year
• OpenGVLab / CaFo
  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
  ☆370Updated 2 years ago
• OpenGVLab / unmasked_teacher
  [ICCV2023 Oral] Unmasked Teacher: Towards Training-Efficient Video Foundation Models
  ☆328Updated last year
• ShoufaChen / AdaptFormer
  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
  ☆357Updated 2 years ago
• awaisrauf / Awesome-CV-Foundational-Models
  ☆517Updated 6 months ago
• SunzeY / AlphaCLIP
  [CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
  ☆821Updated 10 months ago
• KMnP / vpt
  ❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
  ☆1,110Updated last year
• SwinTransformer / Feature-Distillation
  ☆257Updated 2 years ago
• UCSC-VLAA / CLIPA
  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"
  ☆314Updated 11 months ago
• lxtGH / CAE
  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
  ☆196Updated 2 years ago