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Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
RAG-based chatbot that is capable togive information about the city of Matera (MT) and to write typical diale 8000 ct expressions of the town.
Efficient vision foundation models for high-resolution generation and perception.
[NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
[ICLR 2025 oral] RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything
RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
One summary of efficient segment anything models
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
MONAI Label is an intelligent open source image labeling and learning tool.
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Segment Anything in Medical Images
Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
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.
Arterial wall segmentation on ultrasound image sequences using deep learning.
Open source echographic image cleaning package. This package provides the tools to automatically remove watermarks, crop the echographic cone and provide clean and standardised images to train a ma…
[pip install medsegbench] 35x Standardized Medical Segmentation Datasets from Different Data Modalities
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
A remastered version of the same A2D2 image collection
Image segmentation (55 classes), based on a2d2 dataset from audi
An Intelligent Agent written in prolog for managing the smart environnement of a room.
Fuzzy based segmentation of remotely sensed images using an Adaptive Neuro Fuzzy Inference System (ANFIS).
This is a weather forecasting project using satellite data and the use of deep learning models