MCX's repositories
Med-Noisy-Labels
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
EM-BPL-Semi-Seg
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
MisMatch-Semi-Seg
[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation
Pay_Attention_To_Mistakes
[BMVC 2020] Learning To Pay Attention To Mistakes
SatsumaSeg
Segmentation of Pulmonary Tublar Structures with CT Volumes (Developing)
SOP-LVM-ICL-Ensemble
In-Context Ensemble Improves Video-Language Models for Low-Level Workflow Understanding from Human Demonstrations
MRI-GMM-VAE
[Under construction] MRI Parameter Mapping without Independent Voxel Assumption via Gaussian Mixture Variational Autoencoder
3d-vehicle-tracking
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
LLMs-from-scratch-mcx
Implementing a ChatGPT-like LLM from scratch, step by step
mean-teacher
A state-of-the-art semi-supervised method for image recognition
mnist_robust
CMIC Hackathon
MAE-exp
PyTorch implementation of Masked Autoencoder
MRes_individual_project
[Preprint] Attention Based Diagnosis Support in Neurosurgical Oncology Using Intraoperative Ultrasound Data
pytorch-cifar
95.47% on CIFAR10 with PyTorch
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
TorchSemiSeg
[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
wonderbread
WONDERBREAD benchmark + dataset for BPM tasks
YOLO3D
YOLO 3D Object Detection for Autonomous Driving Vehicle