emi-dm's Stars
microsoft/BiomedParse
BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities
microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
hitachinsk/SAMed
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
bitsandbytes-foundation/bitsandbytes
Accessible large language models via k-bit quantization for PyTorch.
MIC-DKFZ/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
SauravMaheshkar/samv2
CPU compatible fork of the official SAMv2 implementation aimed at more accessible and documented tutorials
facebookresearch/sam2
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 the model.
i3uex/universal_lesion_segmentation_challenge
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
DragonDescentZerotsu/SSM-SAM
Code for WACV 2024, Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
bingogome/samm
A 3D Slicer integration to Meta's SAM.
tirthasheshpatel/segment_anything_keras
A multi-backend (TensorFlow, PyTorch, JAX, and NumPy) implementation of the Segment Anything model in Keras 3.0
keras-team/keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
keras-team/keras
Deep Learning for humans
Audio-AGI/AudioSep
Official implementation of "Separate Anything You Describe"