daniel-355 Goto Github PK
Name: Daniel HE
Type: User
Name: Daniel HE
Type: User
100-Days-Of-ML-Code中文版
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
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
Data and code from Applied Predictive Modeling (2013)
A Python package for modular causal inference analysis and model evaluations
RStudio Cheat Sheets
A Hugo theme ported from Ivy
add modified biography
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
RStudio notebooks for deep learning in R
deeplearning.ai课程课后习题
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.
:alien:Tensorflow realizes deeplearning
Deep Learning Toolkit for Medical Image Analysis
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
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.
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.
eXtremely Minimal Hugo theme: about 150 lines of code in total, including HTML and CSS (with no dependencies)
Notebooks and code for the book "Introduction to Machine Learning with Python"
深度学习之TensorFlow:入门、原理与进阶实战
《统计学习方法》的代码实现
Formatted datasets for Machine Learning With R by Brett Lantz
Python 3 入门机器学习经典算法与应用
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.