All Projects → crstnbr → Juliaworkshop19

crstnbr / Juliaworkshop19

Licence: mit
Advanced Julia for undergraduate physicists

Projects that are alternatives of or similar to Juliaworkshop19

Plotly.py
The interactive graphing library for Python (includes Plotly Express) ✨
Stars: ✭ 10,701 (+11531.52%)
Mutual labels:  jupyter-notebook
Pyspark Tutorial
PySpark Code for Hands-on Learners
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
2016 10 Facebook Fact Check
Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Pix2face
3D human face estimation and rendering from a single image
Stars: ✭ 89 (-3.26%)
Mutual labels:  jupyter-notebook
Pytorch Rnn Sequence Generation Classification
Lyrics and piano music generation in Pytorch
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Ml Twitter Sentiment Analysis
Jupyter Notebook + Python code of twitter sentiment analysis
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
H2o Tutorials
Tutorials and training material for the H2O Machine Learning Platform
Stars: ✭ 1,305 (+1318.48%)
Mutual labels:  jupyter-notebook
Stattests
Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
Stars: ✭ 92 (+0%)
Mutual labels:  jupyter-notebook
Bitcoin Value Predictor
[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Histogramloss
This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Alibaba 3rd Security Algorithm Challenge
第三届阿里云安全算法挑战赛冠军代码
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Spring2018 Tutorials
Tutorials for Spring 2018
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
3dunet abdomen cascade
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Tweet Stance Prediction
Applying NLP transfer learning techniques to predict Tweet stance
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Reinforcementlearning
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Python3 Cookbook
《Python Cookbook》 3rd Edition Translation
Stars: ✭ 9,689 (+10431.52%)
Mutual labels:  jupyter-notebook
Aind Cv Facialkeypoints
AIND, computer vision capstone project. This repo contains starting code for an end-to-end facial keypoint recognition system that relies on a combination of computer vision and deep learning techniques.
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Quantum I Ching
A Quantum 爻 System Implementation for Divination
Stars: ✭ 92 (+0%)
Mutual labels:  jupyter-notebook
Notebooks
IPython Notebooks
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook
Simpletensorflowclassificationexample
SImple notebook and dataset to demonstrate classification in TensorFlow
Stars: ✭ 91 (-1.09%)
Mutual labels:  jupyter-notebook

JuliaWorkshop19

DOI Binder

An intermediate Julia workshop for undergraduate/graduate physicists which took place in fall 2019 at the University of Cologne. Although the course is building upon CompPhys-2019 only rudimentary Julia knowledge should be required to follow along.

Julia v1.2 (+ IJulia/Jupyter) installation instructions are available (in german) here:

The instructions from the MIT math department, julia-mit, might be useful as well.

Teacher: Carsten Bauer

Feel free to contact me if you are interested in having me hold a similar workshop at your institution.

Schedule

Content

Try it out live! (Beta)

Click on the Binder badge to dive right into the workshop materials.

Resources

Please check out the file RESOURCES.md for an (incomplete) list of great material that was helpful in the creation of this course.

Student Feedback

Poster

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].