Pinned Repositories
ABD-Net
[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114
Awesome-vehicle-re-identification
Awesome Vehicle Re-identification
CVTC
Attributes Guided Feature Learning for Vehicle Re-identification
ECN
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification CVPR 2019
hoangdacviet.github.io
Hoang Dac Viet: Web Design Logo Mobile App Marketing SEO ❤️ Startup Smarthome IoT
MRNet_for_vehicle_reID
PAUL
RepNet-MDNet-VehicleReID
Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现
track2_aicity_2021
This repo is developed for Strong Baseline For Vehicle Re-Identification in Track 2 Ai-City-2021 Challenges
VAAG
View aware attribute guided network for re-identification
sft110's Repositories
sft110/AMDF
sft110/BayesfMRI
BayesfMRI R package
sft110/brain-segmentation-pytorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
sft110/brainchop
Brainchop: In-browser 3D MRI rendering and segmentation
sft110/fMRI_analysis
sft110/fmriprep
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
sft110/freesurfer
Neuroimaging analysis and visualization suite
sft110/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
sft110/intensity-normalization
normalize the intensities of various MR image modalities
sft110/lightning-hydra-template
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
sft110/llm-python
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
sft110/mDDPM
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
sft110/MRI-preprocessing-techniques
Code examples of the free course in Youtube of brain MRI preprocessing techniques in python
sft110/MRIcroGL
v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.
sft110/nilearn
Machine learning for NeuroImaging in Python
sft110/nnUNet
sft110/patched-Diffusion-Models-UAD
sft110/pySuStaIn
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.
sft110/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
sft110/pytorch-frame
Tabular Deep Learning Library for PyTorch
sft110/Radiology_Image_Preprocessing_for_Deep_Learning
A Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research
sft110/smriprep
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
sft110/sologen-ai.github.io
sft110/StRegA
StRegA: Unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
sft110/tutorial
MONAI Tutorials
sft110/UFANetmdd
sft110/Unsupervised_Anomaly_Detection_Brain_MRI
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
sft110/vit_ae_plus_plus
Code base for the paper ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
sft110/workshop_pybrain
sft110/yAwareContrastiveLearning
Official Pytorch Implementation for y-Aware Contrastive Learning