babybabyyuanbao Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

biopycourse

Python short course for graduates in biology and biochemistry

biopython

Official git repository for Biopython (converted from CVS)

biopython.github.io

Source of biopython.org website, migrated from MediaWiki

blasterqt

Initial Import

cnn-visualization

CNN可视化、理解CNN

cobrame

A COBRApy extension for genome-scale models of metabolism and expression (ME-models)

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3-hierarchy

2D layout algorithms for visualizing hierarchical data.

d3-shape

Graphical primitives for visualization, such as lines and areas.

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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，50余万字。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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

dsbyliteexample

escher

Build, view, share, and embed pathway maps.

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fit-sne

Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)

gecko

Toolbox for including enzyme constraints on a genome-scale model.

git-extras

GIT utilities -- repo summary, repl, changelog population, author commit percentages and more

git_collaboration

Training repo for Git collaboration workshop

git_intro

Training repo for Git intro workshop

hands-on-application-development-with-pycharm

Hands-On Application Development with PyCharm, published by Packt

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.

ht17

HT17 Courses material from the Bioinformatics Core Facility staff, Sahlgrenska Academy, Gothenburg University

keff_mapping

Scripts to reproduce ME-model simulations from "Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models"