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Name: Khalil Ur Rahman
Type: User
Company: Tsinghua University
Bio: PhD Scholar from the Department of Hydraulic Engineering, Tsinghua University
Location: Beijing
Name: Khalil Ur Rahman
Type: User
Company: Tsinghua University
Bio: PhD Scholar from the Department of Hydraulic Engineering, Tsinghua University
Location: Beijing
This repository contains the Python code of "Analytical Groundwater Modeling: Theory and Applications Using Python" by Mark Bakker and Vincent Post
This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.
Datasets, code and virtual workspace for the Climate Change ATLAS
Long list of geospatial tools and resources
Course materials for the Bayesian Biostatistics course (25-27.1.2016, iDiv, Leipzig, Germany)
Bayesian optimization in PyTorch
Bayesian Principal Components Analysis (bPCA)
An R package for statistical calibration of seasonal climate forecasts
A collection of visual guides to help applied scientists learn causal inference.
Using R Markdown to construct reproducible code
Using tidyr, dplyr and piping for easy and efficient data manipulation
This repository holds the materials for the Coding Club dataviz workshop in Boulder
Intro to time series analysis in R
An R Framework for Climate Data Access and Post-processing
Climate Indices in Climate4R
Climate indices for drought monitoring, community reference implementations in Python
Image classification using CNN
A simple tutorial on convolution network in Python
Speed Up Exploratory Data Analysis (EDA)
Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.
My Python solutions for the assignments in the machine learning class by andrew ng on coursera.
code for Data Science From Scratch book
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.