Starred repositories
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Collection of virtual objects for numerical MR experiments.
a open framework for blind navigation based on esp32
The official code for paper "GPSToken: Gaussian Parameterized Spatially-adaptive Tokenization for Image Representation and Generation"
A 3D Vision Transformer-based neural network for reconstructing electrical properties of tissues from MRI data.
ViLMedic (Vision-and-Language medical research) is a modular framework for vision and language multimodal research in the medical field
[EMNLP-2020] The official implementation of Generating Radiology Reports via Memory-driven Transformer.
2D Maxwell equation solver using FDTD method
Simple 2D FDTD solver written in pure python
A python based MRI reconstruction toolbox with compressed sensing, parallel imaging and machine-learning functions
Using MAIRA-2 multimodal transformer designed for the generation of grounded or non-grounded radiology reports from chest X-rays.
A collection of resources on applications of multi-modal learning in medical imaging.
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restoration
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
[CVPR 2023] CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
NeurIPS 24, decoding video from EEG signals
EEG2IMAGE: Image Reconstruction from EEG Brain Signals. [ICASSP 2023]
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Implicit networks can be trained efficiently and simply by using Jacobian-free Backprop (JFB).
Jacobian-free Backpropagation
[MICCAI 2021] Official Implementation for "MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels"
pytorch implementation of Domain-Adversarial Training of Neural Networks
UDA(Unsupervised Data Augmentation) implemented by pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"