Shrekbaby's Stars
eigenvivek/DiffDRR
Auto-differentiable digitally reconstructed radiographs in PyTorch
hiyouga/LLaMA-Factory
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
MrGiovanni/SyntheticTumors
[CVPR 2023] Label-Free Liver Tumor Segmentation
ge-xing/SegMamba
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
MIC-DKFZ/nnUNet
zoubohao/DenoisingDiffusionProbabilityModel-ddpm-
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
wasserth/TotalSegmentator
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
assafelovic/gpt-researcher
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
bowang-lab/U-Mamba
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
IrohXu/lanenet-lane-detection-pytorch
Unofficial implemention of lanenet model for real time lane detection Pytorch Version
harryhan618/LaneNet
Pytorch implementation of "Towards end-to-end lane detection: an instance segmentation approach"
MaybeShewill-CV/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
klintan/pytorch-lanenet
LaneNet implementation in PyTorch
Wizaron/instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function in PyTorch
amiralansary/rl-medical
Deep Reinforcement Learning (DRL) agents applied to medical images
wulalago/LearningNote
some resources on my path in deep learning and medical image analysis
MorvanZhou/tutorials
机器学习相关教程
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
HiLab-git/WSL4MIS
Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
JunMa11/AbdomenCT-1K
The official repository of "AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?"
HiLab-git/WORD
[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Panxjia/SPA_CVPR2021
The official implementaion of SPA_CVPR2021 paper
282857341/nnFormer
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解