Stars
DM-AHR: a customized Self-Supervised Diffusion Model for Automatic Hair Removal in Dermoscopic Images for Enhanced skin diagnosis
scalexi is a versatile open-source Python library, optimized for Python 3.11+, focuses on facilitating low-code development and fine-tuning of diverse Large Language Models (LLMs).
ROSGPT is a pioneering approach that combines the power of ChatGPT and ROS (Robot Operating System) to redefine human-robot interaction. By leveraging large language models like ChatGPT, ROSGPT ena…
Implementing training code of the dual-guided model
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
Generative Models by Stability AI
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Commanding robots using only Language Models' prompts
Cross-Region Building Counting in Satellite Imagery using Counting Consistency
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
riotu-lab / TAU
Forked from bilel-bj/TAUTAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
The easier way to do machine learning in Python without coding!
Streamlit — A faster way to build and share data apps.
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
An interactive corn plant point cloud segmentation and annotation software (version 2.0)
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild