openai / CLIPLinks
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
☆32,499Updated last year
Alternatives and similar repositories for CLIP
Users that are interested in CLIP are comparing it to the libraries listed below
Sorting:
- An open source implementation of CLIP.☆13,324Updated 3 months ago
- LAVIS - A One-stop Library for Language-Vision Intelligence☆11,154Updated last year
- PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation☆5,658Updated last year
- PyTorch code and models for the DINOv2 self-supervised learning method.☆12,370Updated last month
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆22,002Updated 2 weeks ago
- ☆12,275Updated last week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,587Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,486Updated this week
- Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆17,382Updated last year
- 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.☆32,703Updated this week
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆53,369Updated last year
- [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"☆9,694Updated last year
- PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO☆7,437Updated last year
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.☆24,426Updated last year
- Taming Transformers for High-Resolution Image Synthesis☆6,425Updated last year
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆13,219Updated last year
- PyTorch implementation of MAE https//arxiv.org/abs/2111.06377☆8,215Updated last year
- Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.