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easylearn

Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other biomarker-based disease diagnosis and prediction, treatment response prediction, disease subtyping, dimensional decoding for transdiagnostic psychiatric diseases or other diseases, disease mechanism exploration and etc.

efficient-3dcnns

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

efficientnet

Use tf2 and keras implement EfficientNet

efficientnet-1

Implementation of EfficientNet model. Keras and TensorFlow Keras.

efficientnet-2

EfficientNets snapshot

efficientnet-classification

efficientnet-gradcam-visualization

EfficientNet-GradCam Visualization

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

efficientnet-yolo3-pytorch

这是一个efficientnet-yolo3-pytorch的源码，将yolov3的主干特征提取网络修改成了efficientnet

efficientnet_keras_transfer_learning

Transfer Learning with EfficientNet in Keras

endnote_tutorial_hand_by_hand

手把手教你使用 EndNote X9/NoteExpress

exercise

exercise for nndl

face-detection-with-vgg19-by-haar-cascade-feature-extraction

facialaffectrecognition

Repository for facial affect detection using Inception, ResNet, SEresNet, ResNext, Squeeze and Excitation model, VGG16

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fast-mrmr

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).

fastonlinetrack

Fast-online-tracking-with-detection-refinement

fastq_utils

Validation and manipulation of FASTQ files, scRNA-seq barcode pre-processing and UMI quantification.

fcn2d_for_brats

featexp

Feature exploration for supervised learning

feature-extraction-by-inception-resnetv2-with-tf.keras

extract you own image features with many class by tf.keras.applications.InceptionResNetV2

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

feature_extraction

A sample to extract features from keras models.

featureextraction

Using keras to extract features for a set of images from the Inception model.

finetuned-resnet50-keras

This repo shows how to finetune a ResNet50 model for your own data using Keras.

fmri-analysis-course

Materials from fMRI data analysis course for cognitive science students.

fmri_preprocessing

AFNI and FSL based preprocessing pipeline for fMRI data

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.

fsl-scripts

Script-framework using FSL, Freesurfer and AFNI functionality for automatization and high-throughput processing of MRI data in clustered environments.

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.