guokai8

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

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

pandas_exercises

Practice your pandas skills!

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

Machine-Learning-by-Andrew-Ng-in-Python

Documenting my python implementation of Andrew Ng's Machine Learning course

lihang-code

《统计学习方法》的代码实现

vpn

快速搭建一个自己的VPN翻墙科学上网

gcForest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

VennDetail-Shiny

Shiny version for VennDetail

scipy-2018-sklearn

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

TensorFlow-Keras-python3

此仓库为《Tensorflow+keras深度学习人工智能实践应用》林大贵先生著中的代码实现。 使用Anaconda中的jupyter notebook实现。

ReactomePE

Reactome Pathway Enrichment Analysis for Plant

deepdrug

drug learning

cowork_pa

OnPLS

OnPLS: Orthogonal Projections to Latent Structures in Multiblock and Path Model Data Analysis

TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

dl_tutorials

Deep learning tutorials (2nd ed.)

GWAS

GWAS related things

Cplusplus

Small C++ program : A fast and practical computation to generate all the shortest unique subsequences in genome

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

GWAS_benchmark

A set of tools for benchmarking or evaluating GWAS algorithms. A detailed description can be found in C. Widmer et al., Scientific Reports 2014.