filipbasara0 / simple-clipLinks
A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch
☆37Updated last year
Alternatives and similar repositories for simple-clip
Users that are interested in simple-clip are comparing it to the libraries listed below
Sorting:
- An official implementation of CVPR 2023 "Self-Guided Diffusion Models"☆27Updated 2 years ago
- Unofficial implementation of "SODA: Bottleneck Diffusion Models for Representation Learning"☆91Updated last year
- (ICLR 2023) Official PyTorch implementation of "What Do Self-Supervised Vision Transformers Learn?"☆111Updated last year
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago
- The official github repo for "Test-Time Training with Masked Autoencoders"☆87Updated last year
- Visualizing representations with diffusion based conditional generative model.☆97Updated 2 years ago
- Code for "Training on Thin Air: Improve Image Classification with Generated Data"☆48Updated 2 years ago
- Code for the Paper "Improving Diffusion Model Efficiency Through Patching"☆114Updated last year
- Pytorch implementation of TDPM☆35Updated 2 years ago
- Augmenting with Language-guided Image Augmentation (ALIA)☆78Updated last year
- Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023☆175Updated 2 years ago
- Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆34Updated 2 years ago
- PyTorch implementation of the paper "No reason for no supervision: Improving the generalization of supervised models"☆18Updated 2 years ago
- This is a offical PyTorch/GPU implementation of SupMAE.☆78Updated 2 years ago
- ☆56Updated last year
- [WACV2025 Oral] DeepMIM: Deep Supervision for Masked Image Modeling☆53Updated 3 months ago
- [ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training☆77Updated 2 years ago
- [ECCV 2024] Official repository for "DataDream: Few-shot Guided Dataset Generation"☆43Updated last year
- Code for the paper "Do text-free diffusion models learn discriminative visual representations?"☆25Updated last year
- [ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"☆176Updated last year
- Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"☆95Updated last year
- [CVPR 2023] Zero-shot Generative Model Adaptation via Image-specific Prompt Learning☆83Updated 2 years ago
- The official PyTorch implementation of Fast Diffusion Model☆95Updated 2 years ago
- IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)☆91Updated last year
- [ICCV 2023] Zero-shot image editing with stochastic diffusion models☆58Updated last year
- classifier guidance rescale for class-conditional image generation☆44Updated 2 years ago
- Official codes for ConMIM (ICLR 2023)☆60Updated 2 years ago
- LoMaR (Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction)☆65Updated 4 months ago
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆62Updated last year
- [CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders☆80Updated last year