fengcls

3D-Segmentation

Volumetric segmentation network

coursera_misc

Miscellaneous codes for coursera courses

Deep-learning-MRI-AD-prediction

Gaussian-mixture-model

Implementation of Gaussian mixture model using expectation maximization (EM), variational inference (VI), and Gibbs sampler (GS).

Lasso

Codes for Lasso with various methods

medical_image_transform

a set of tools to transform (translate, synthesize, reconstruct) medical images, using methods including GAN, attention, ...

neural-network-and-deep-learning

The code for the course neural network and deep learning

neuroimaging-datasets

A collection of (semi-)open neuroimaging datasets for large-scale machine learning research [keep updating!]

shape_toolbox

A collection of public and custom scripts used for shape analysis

Spatial-transformer

Spatial Transformer Networks theano implementation

fengcls/neuroimaging-datasets

A collection of (semi-)open neuroimaging datasets for large-scale machine learning research [keep updating!]

fengcls/Deep-learning-MRI-AD-prediction

fengcls/Gaussian-mixture-model

Implementation of Gaussian mixture model using expectation maximization (EM), variational inference (VI), and Gibbs sampler (GS).

fengcls/Lasso

Codes for Lasso with various methods

fengcls/medical_image_transform

a set of tools to transform (translate, synthesize, reconstruct) medical images, using methods including GAN, attention, ...

fengcls/shape_toolbox

A collection of public and custom scripts used for shape analysis

fengcls/3D-Segmentation

Volumetric segmentation network

fengcls/coursera_misc

Miscellaneous codes for coursera courses

fengcls/neural-network-and-deep-learning

The code for the course neural network and deep learning

fengcls/Spatial-transformer

Spatial Transformer Networks theano implementation

fengcls/Adversarial_Video_Generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

fengcls/auto-sklearn

Automated Machine Learning with scikit-learn

fengcls/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

fengcls/ct_lung_segmentation

Robust segmentation of lung and airway in CT scans

fengcls/gcn

Implementation of Graph Convolutional Networks in TensorFlow

fengcls/generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

fengcls/keras-vis

Neural network visualization toolkit for keras

fengcls/Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow (python 2.7)

fengcls/pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

fengcls/pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

fengcls/stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

fengcls/Toy-Code

A collection of toy/old codes