shanring's repositories
keras-attention-mechanism
Attention mechanism Implementation for Keras.
keract
Activation Maps (Layers Outputs) and Gradients in Keras.
SelfTarget
Scripts for processing and predicting CRISPR/Cas9-generated mutations
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
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。
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
keras
Deep Learning for humans
PyTorch-Tutorial
Build your neural network easy and fast
IRESfinder
IRESfinder is a python package for the identification of RNA internal ribosome entry site in eukaryotic cell
MKLpy
A package for Multiple Kernel Learning in Python
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
MachineLearning
Machine learning resources，including algorithm, paper, dataset, example and so on.
DeepCirCode
R package for deep learning of the back-splicing code for circular RNA formation
pytorch-grad-cam
PyTorch implementation of Grad-CAM
LightGBM-PPI
LightGBM-PPI: predicting protein-protein interactions through LightGBM with multi-information fusion
LightGBM
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.
keras-grad-cam
An implementation of Grad-CAM with keras
README
README文件语法解读，即Github Flavored Markdown语法介绍
text_classification
all kinds of text classification models and more with deep learning
DislncRF
Inferring disease-associated lncRNAs using tissue expression profiles
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
pyseqlogo
Python package to plot sequence logos
concise
Concise: Keras extension for regulatory genomics
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
random-forest-importances
Code to compute permutation and drop-column importances in Python scikit-learn random forests
DeepAffinity
Protein-compound affinity prediction through unified RNN-CNN