chloe-shen Goto Github PK

calm-notebooks

notebooks that are used at calmcode.io

celligner_ms

Code related to the Celligner manuscript

cheatsheets

RStudio Cheat Sheets

chloe-shen

Config files for my GitHub profile.

cs224w-2021-winter-colab

cs224w（图机器学习）2021冬季课程的colab

cutadapt

Cutadapt removes adapter sequences from sequencing reads

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

deep-drug-response

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

docs

Documentation for PaccMann service

dreamtools

Code sharing related to DREAM challenges

drugcell

A visible neural network model for drug response prediction

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

feature-engineering-made-easy

Feature Engineering Made Easy, published by Packt

feeling-responsive

»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.

google_tensorflow

谷歌**大学深度学习应用

gzbiosino

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

lihang-code

《统计学习方法》的代码实现

linear_algebra_with_python

Lecture Notes for Linear Algebra Featuring Python

machine-learning

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machinelearningnotes

My personal notes

mit-18.06-linalg-notes

MIT 18.06 线性代数笔记

nips17-rexgen

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)

notes-linear-algebra

线性代数笔记

notes-machine-learning

鉴于我没有时间继续写这个东西，这个项目暂时废止

opencoursecatalog

Bilibili 公开课目录