ruijingfang Goto Github PK

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码

applied-data-science-with-python

awesome-algorithm

LeetCode, HackRank, 剑指offer, classic algorithm implementation

awesome-bioinformatics

A curated list of awesome Bioinformatics libraries and software.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bds-files

Supplementary files for my book, "Bioinformatics Data Skills"

bioinformatics-one-liners

my collection of bioinformatics one liners that is useful in my day-to-day work

bioinformatics-training

Bioinformatics training resources

cancerlocator

A Java package for non-invasive cancer diagnosis using methylation profiles of cell-Free DNA.

computing

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cruk-summer-school-2017

Analysis of Cancer Genomes; 2017 edition

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（STAT 157）”教材。

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

delfi_scripts

dna-methylation-analysis

my notes on DNA methylation analysis (arrays and sequencing data)

dna-seq-analysis

my notes on whole exome and whole genome sequencing analysis

dumr

differentially Under Methylated Regions among normal tissues and pan-cancers

easyamplicon

Easy Amplicon data analysis pipeline

easymetagenome

Easy Metagenome Pipeline 2019 (1.0)

erbs

Estrogen related receptor binding sites

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

face_recognition

The world's simplest facial recognition api for Python and the command line

fasttext

Library for fast text representation and classification.

getting-started-with-genomics-tools-and-resources

Unix, R and python tools for genomics

in-depth-ngs-data-analysis-course

Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.

inf9380

High-Performance Computing in Bioinformatics

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes