mlfoundations / open_clip
An open source implementation of CLIP.
☆9,782Updated last month
Related projects: ⓘ
- LAVIS - A One-stop Library for Language-Vision Intelligence☆9,663Updated 3 weeks ago
- PyTorch code and models for the DINOv2 self-supervised learning method.☆8,791Updated last month
- PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation☆4,650Updated last month
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆24,723Updated last month
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆7,687Updated this week
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆10,327Updated last month
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆8,351Updated this week
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆15,839Updated this week
- Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.☆3,599Updated last month
- Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and …☆14,750Updated 2 weeks ago
- Fast and memory-efficient exact attention☆13,401Updated this week
- High-Resolution Image Synthesis with Latent Diffusion Models☆11,480Updated 6 months ago
- ImageBind One Embedding Space to Bind Them All☆8,221Updated last month
- Official repo for consistency models.☆6,073Updated 5 months ago
- [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"☆6,262Updated last month
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆19,545Updated 3 weeks ago
- Latest Advances on Multimodal Large Language Models☆11,722Updated this week
- An open-source framework for training large multimodal models.☆3,658Updated 2 weeks ago
- A collection of resources and papers on Diffusion Models☆10,758Updated last month
- [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"☆4,309Updated last month
- ☆6,068Updated 2 months ago
- Easily compute clip embeddings and build a clip retrieval system with them☆2,355Updated 5 months ago
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.☆19,294Updated last month
- 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.☆25,168Updated this week
- Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence L…☆2,396Updated 4 months ago
- Taming Transformers for High-Resolution Image Synthesis☆5,705Updated last month
- Using Low-rank adaptation to quickly fine-tune diffusion models.☆6,960Updated 5 months ago
- ☆10,072Updated 3 months ago
- Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"☆6,008Updated 3 months ago
- Implementation of Denoising Diffusion Probabilistic Model in Pytorch☆7,916Updated 2 weeks ago