Hamed Mehrabi's repositories
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
CogVLM
a state-of-the-art-level open visual language model | ๅคๆจกๆ้ข่ฎญ็ปๆจกๅ
few-shot-self-prompt-SAM
This is the official repo for "Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation"
finetune-anything
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
food-info
Large Language-and-Vision Model for food detection and nutritional estimation.
hi-ml
HI-ML toolbox for deep learning for medical imaging and Azure integration
jupyter-ai
A generative AI extension for JupyterLab
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
micro-sam
Segment Anything for Microscopy
MobileSAM
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Polyp-SAM-PlusPlus
Polyp-SAM++ is the first text-guided polyp-segmentation method using segment anything model (SAM).
Qilin-Med-VL
The first Chinese medical large vision-language model designed to integrate the analysis of textual and visual data
RaDialog
Official code for the Paper "RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance"
SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
SAM-Med3D
SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image
SAM-Med3D-Customised
SAM-Med3D with customised dataset
SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
samm
A 3D Slicer integration to Meta's SAM.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
streamlit-segment-anything-model-python
Computer vision web app with Python, Streamlit & Segment Anything Model | Modelbit model deployment