yfu1116 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

bglr-r

bioinfo_leetcode

让我们以刷LeetCode题目的形式，来编程解决生物信息学问题吧，Come on

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。

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

ensembl-vep

The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

etada

g2p

G2P is an integrated genomic selection (GS) package for predicting phenotypes from genotypes. It includes 15 GS algorithms and 13 evaluation measurements.

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning-1

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mlresource

机器学习入门资源：代码、算法、书籍、论文

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

project

statistical-learning-method-by-hang-li

《统计学习方法》李航

statistical-learning-method-notes

Notes of Li-hang‘s Statistical-Learning-Method by Python

tada-a

A statistical framework for mapping risk genes from de novo mutations in whole-genome sequencing studies

tadaa

An temporary repo for R package of TADA-Annotation.

workflowr

Organize your project into a research website

yfu1116.github.io