Xinyang Feng's repositories
neuroimaging-datasets
A collection of (semi-)open neuroimaging datasets for large-scale machine learning research [keep updating!]
Gaussian-mixture-model
Implementation of Gaussian mixture model using expectation maximization (EM), variational inference (VI), and Gibbs sampler (GS).
medical_image_transform
a set of tools to transform (translate, synthesize, reconstruct) medical images, using methods including GAN, attention, ...
shape_toolbox
A collection of public and custom scripts used for shape analysis
3D-Segmentation
Volumetric segmentation network
coursera_misc
Miscellaneous codes for coursera courses
neural-network-and-deep-learning
The code for the course neural network and deep learning
Spatial-transformer
Spatial Transformer Networks theano implementation
Adversarial_Video_Generation
A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
auto-sklearn
Automated Machine Learning with scikit-learn
Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
ct_lung_segmentation
Robust segmentation of lung and airway in CT scans
gcn
Implementation of Graph Convolutional Networks in TensorFlow
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI đź”— https://microsoft.github.io/generative-ai-for-beginners/
keras-vis
Neural network visualization toolkit for keras
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow (python 2.7)
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
Toy-Code
A collection of toy/old codes