Chain together LLMs for reasoning & orchestrate multiple large models for accomplishing complex tasks
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023
Pytorch code for Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
This repository provides an interactive image colorization tool that leverages Stable Diffusion (SDXL) and BLIP for user-controlled color generation. With a retrained model using the ControlNet approach, users can upload images and specify colors for different objects, enhancing the colorization process through a user-friendly Gradio interface.
Image captioning using python and BLIP
[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
Collection of OSS models that are containerized into a serving container
SAM + CLIP + DIFFUSION for image to edit objects in images using plain text
oCaption: Leveraging OpenAI's GPT-4 Vision for Advanced Image Captioning
Explore a project that develops a SLAM-based navigation system using vision-language data inputs. This project integrates natural language vocal instructions and image feeds to guide a differential drive robot equipped with a Kinect V2 sensor through dynamic environments.
This advanced script let you manipulate XML folder to change GTAV blips position and generate new XML.
Smart image processing tool uses advanced machine learning to improve the quality of images.
✍️ | RunPod Worker for bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
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