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100-days-of-ml-code

100-Days-Of-ML-Code中文版

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

algorithms

慕课网刘宇波老师所有的算法视频教程在学习时自己的代码记录+加一些其他的算法书籍和课程的学习

appliedpredictivemodeling

Data and code from Applied Predictive Modeling (2013)

biof-399-project

causallib

A Python package for modular causal inference analysis and model evaluations

cheatsheets

RStudio Cheat Sheets

clayford.github.io

cv

daniel

A Hugo theme ported from Ivy

daniel-355.github.io

daniel-he2

add modified biography

daniel.github.io

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

daniel.he

deep-learning-using-r

RStudio notebooks for deep learning in R

deeplearning.ai

deeplearning.ai课程课后习题

dentisty.ai

Please use the following assignment for Data Scientist position: The deadline of Assignment is 3 days. 1. Download the data-set from : https://warwick.ac.uk/fac/sci/dcs/research/tia/glascontest/download/ 2. Augment the data-set to make it efficient against shift, light variation and other noise. 3. Train a transfer learning based classifier to classify images according to benign/malignant given in the Excel file. 4. Train a transfer learning based Semantic segmentation according to the annotation in _anno.BMP file. 5. Upload the assignment on your Github in form of a IPYNB showing results on a few test set images.

dl-tenserflow

:alien:Tensorflow realizes deeplearning

dltk

Deep Learning Toolkit for Medical Image Analysis

dynamic

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

gformula

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

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.

hugo-xmin

eXtremely Minimal Hugo theme: about 150 lines of code in total, including HTML and CSS (with no dependencies)

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learning_tf

深度学习之TensorFlow：入门、原理与进阶实战

lihang-code

《统计学习方法》的代码实现

luansheng.github.io

machine-learning-session

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

machinelearningclassicalgorithm

Python 3 入门机器学习经典算法与应用