transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
https://github.com/bytedance/ui-tars-desktop
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
tap_llm_course
Materials for the TAP (Tendencias en Aprendizaje Pronfundo) subject from the Master in Robotics and Artificial Intelligence from the Universidad de León
https://github.com/altunenes/calcarine
Desktop VLM: Real-time FastVLM analysis of video & textures with live compute shaders
https://github.com/adithya-s-k/yologemma
Testing and evaluating the capabilities of Vision-Language models (PaliGemma) in performing computer vision tasks such as object detection and segmentation.
https://github.com/adithya-s-k/eagle
A framework streamlining Training, Finetuning, Evaluation and Deployment of Multi Modal Language models
https://github.com/ammarlodhi255/chest-xray-report-generation-app-with-chatbot-end-to-end-implementation
AI-powered Chest X-ray report generation app using VLM (Swin-T5) and LLM (LLaMA-3) for multilingual Q&A and medical education support.
awesome-robotics-3d
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
https://github.com/byuflowlab/flowvlm
Vortex lattice method for inviscid lifting-surface aerodynamics