DataScience
ThreeBodyBot
Our great sponsors
DataScience | ThreeBodyBot | |
---|---|---|
9 | 4 | |
478 | 222 | |
0.4% | - | |
0.0 | 5.5 | |
about 1 year ago | 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DataScience
-
Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
For all topics that explained briefly, I provided the links with more thorough documentation. In addition, I would highly recommend reading the Julia Data Science online book and learn the great set of machine learning examples in Julia Academy Data Science GitHub repository.
- DataScience: NEW Courses - star count:421.0
-
Error message: TypeError
So, I just decided to try to learn Julia, and started by following the Julia for DataScience lectures on JuliaAcademy. In the first lecture, I get instructed to clone the DataScience repository on GitHub. According to instructions, I activated the environment with activate and check the status (status). I then ran instantiate to update any necessary packages, and get the following error message:
ThreeBodyBot
-
A rudimentary simulation of the three-body problem
This is the source code for the popular ThreeBodyBot [0]
It contains a numerics tutorial [1] that au found very useful for my use case.
[0] https://github.com/kirklong/ThreeBodyBot
[1] https://github.com/kirklong/ThreeBodyBot/blob/master/Numeric... (ipynb)
-
3 Body Problem Simulation
There is a Twitter user/bot that posts similar (daily) simulation: https://twitter.com/ThreeBodyBot
-
I'm learning Python for work. Thought it would be fun to revisit my undergrad days, so I coded this three-body simulation.
Awesome work! There's a great twitter bot that does something similar if folks like this kind of thing. https://twitter.com/ThreeBodyBot
- Random Three-Body Simulation Generator (With Twitter Bot)
What are some alternatives?
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
Julia-on-Colab - Notebook for running Julia on Google Colab
GetMySlot - A bot that will not take over the world but will notify you if there is a slot available.
julia_titanic_model - Titanic machine learning model and web service
brick-blot-bot - Daily X bot for scraping and posting North Carolina State University campus police reports.
DataFrames.jl - In-memory tabular data in Julia
PandExo - A Community Tool for Transiting Exoplanet Science with the JWST & HST
ScikitLearn.jl - Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Knet.jl - Koç University deep learning framework.
PlotDocs.jl - Documentation for Plots.jl
NumPy - The fundamental package for scientific computing with Python.