shanring,github

dislncrf

Inferring disease-associated lncRNAs using tissue expression profiles

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dlprb

DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding

effectivetensorflow

TensorFlow tutorials and best practices.

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt-convnet

Convolutional computer vision architectures that can be tuned by hyperopt.

hyperopt-keras-cnn-cifar-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

hyperopt-nnet

Hyperparameter optimization for neural networks

ideeps

inferring sequence-structure motifs using deep learning

iresfinder

IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell

keract

Activation Maps (Layers Outputs) and Gradients in Keras.

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-grad-cam

An implementation of Grad-CAM with keras

keras-mnist-gan

Simple Generative Adversarial Networks for MNIST data with Keras.

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lightgbm-ppi

LightGBM-PPI: predicting protein-protein interactions through LightGBM with multi-information fusion

lihang-code

《统计学习方法》的代码实现

machine-learning-with-python

Python code for common Machine Learning Algorithms

machinelearning

Machine learning resources，including algorithm, paper, dataset, example and so on.

mklpy

A package for Multiple Kernel Learning in Python

mnist-with-keras

MLP, CNN, RBFN and SVM on MNIST dataset with Keras framework

musitedeep

MusiteDeep provides a deep-learning method for general and kinase-specific phosphorylation site prediction. It is implemented by deep learning library Keras and Theano backend (the Keras2.0 and Tensorflow backend implementation were also provided under folder MusiteDeep_Keras2.0). At present, MusiteDeep only provides prediction of human phosphorylation sites; however, it also provides customized model training that enables users to train other PTM prediction models by using their own training data sets based on either CPU or GPU.

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

offtargetpredict

ensemble learning for CRISPR/Cas9 off-target site prediction

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