duanxiaoqian Goto Github PK

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国家自然基金查询

-microarray-of-transcriptome-analysis

Microarray of Transcriptome analysis

auto-sklearn

Automated Machine Learning with scikit-learn

bioinformatic_rnaseq_20190123

RNAseq analysis--KEGG database spider and information extract

bioinformatics-tools

a lot of litter but practical tools for bioinformatics in data mining

bokeh

Interactive Data Visualization in the browser, from Python

brew

⛔️ DEPRECATED brew: Python Ensemble Learning API

causalpath

A project for exploring differentially active signaling paths related to proteomics datasets

chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

compms2miner

metabolite identification R-package for metabolomic high-resolution LC-MS datasets.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

createkeggdb

Create KEGG.db Package

cufflinks

Productivity Tools for Plotly + Pandas

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。

data-and-life

data-mining

Материалы к книге "Классификация, регрессия, и другие алгоритмы Data Mining с использованием R"

data-mining-scripts

Data mining scripts for some project

data-mining-with-r

data_mining_with_r

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

dataminingnotebooks

This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.

deep-learning-image-segmentation

A Theory and Practical Guide to Deep Learning Semantic Segmentation

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

docker-cheat-sheet

Docker Cheat Sheet

docker_practice

Learn and understand Docker technologies, with real DevOps practice!

featureselectionsandextractions

feature selections and extractions

game_datamining_with_r

R语言游戏数据分析与挖掘

ggvenn

Venn Diagram by ggplot2

google-machine-learning-crash-course

谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习以及TensorFlow研究人员参考！

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

imageregistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.