All Projects → jiahao → Ijulia Notebooks

jiahao / Ijulia Notebooks

Licence: other
My IJulia notebooks

Projects that are alternatives of or similar to Ijulia Notebooks

Mri Automap
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Poi2vec
POI2Vec: Geographical Latent Representation for Predicting Future Visitors
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Udacity Ml Nanodegree
Projects for Udacity's Machine Learning Engineer Nanodegree
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Deep Chemometrics
Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Tech Terms
A repository of technical terms and definitions. As flashcards.
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Stock2vec
Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Ensemble Machine Learning Cookbook
Ensemble Machine Learning Cookbook, published by Packt
Stars: ✭ 29 (-3.33%)
Mutual labels:  jupyter-notebook
Functional Python
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Quantumcircuitbornmachine
gradient based training of Quantum Circuit Born Machine
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Qa Rankit
QA - Answer Selection (Rank candidate answers for a given question)
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Deep Learning Book Chapter Summaries
Attempting to make the Deep Learning Book easier to understand.
Stars: ✭ 952 (+3073.33%)
Mutual labels:  jupyter-notebook
Sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
Stars: ✭ 954 (+3080%)
Mutual labels:  jupyter-notebook
Docker Iocaml Datascience
Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Pytorch projects
A collection of Machine Learning Google_Colab_Notebooks
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Bdr Analytics Py
Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Stock price trend fft
Stock price trend analysis using Fourier transform
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Datahacksummit 2017
Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Udacity machine learning engineer
Udacity Machine Learning Engineer Nanodegree
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Machine Learning
Machine learning for Project Cognoma
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook
Machine Learning Alpine
Alpine Container for Machine Learning
Stars: ✭ 30 (+0%)
Mutual labels:  jupyter-notebook

IJulia Notebooks

Demo-ready IJulia notebooks.

Creative Commons License
Jiahao's IJulia Notebooks by Jiahao Chen is dual-licensed under a Creative Commons Attribution 4.0 International License and the MIT license.
Based on a work at https://github.com/jiahao/ijulia-notebooks.
Permissions beyond the scope of this license may be available at https://github.com/jiahao/ijulia-notebooks/blob/master/LICENSE.md.

What are these notebooks?

IJulia notebooks are Jupyter/IPython Notebooks running Julia code. These notebooks offer a convenient and modern solution for writing literate documents that mix code, text, equations, and other multimedia elements.

List of available notebooks

Notebooks are given names based on the first date I have used them for a demo.

Some of these will have been updated more recently.

  • The Colors of Chemistry (2014-06-09): demonstrates the relationship between UV-vis spectroscopic data and the human-perceived colors as described by color spaces.

  • World of Julia (2014-06-30): shows how to download data by querying the GitHub API and OpenStreetMap's Nominatim geocoding service, and render the results on a vector map.

  • Parallel Prefix (2014-08-06): explains the parallel prefix (a.k.a. scan or prefix sum) algorithm, specifically the Brent-Kung form, and how polymorphism in Julia allows the same implementation to be reused for formal verification, visualization, and distributed computation. Update: the ideas in this notebook are now published.

More notebooks

More notebooks can be found at ijulia-notebooks-assorted, which is a repository of IJulia notebooks in various levels of readiness.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].