All Projects → abjer → Sds2019

abjer / Sds2019

Social Data Science 2019 - a summer school course

Projects that are alternatives of or similar to Sds2019

Midi Miner
Python MIDI track classifier and tonal tension calculation based on spiral array theory
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Latent dirichlet allocation
This is the Code for "Generative Models - The Math of Intelligence #8" By Siraj Raval on Youtube
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Gan Mosaics
Using Styleganv2 to generate mosaics.
Stars: ✭ 45 (+0%)
Mutual labels:  jupyter-notebook
Elemnet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Parlai agents
# ParlAI Agent examples with PyTorch, Chainer and TensorFlow
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Python4scientificcomputing numpy pandas matplotlib
python4ScientificComputing, Numpy, Pandas and Matplotlib
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Big data benchmarks
big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Lecture Python Programming.notebooks
Notebooks for https://python-programming.quantecon.org
Stars: ✭ 45 (+0%)
Mutual labels:  jupyter-notebook
Business Analytics Ime654
Course homepage for "Business Analytics (IME654)" @Korea University
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Pysd Cookbook
Simple Recipes for Powerful Analysis of System Dynamics Models
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
News push project
Real Time News Scraping and Recommendation System - React | Tensorflow | NLP | News Scrapers
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Deeptutor
Spaced repetition through deep reinforcement learning
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Pyprogbook
金融大數據首部曲 書名: Python 程式設計入門 — 金融商管實務案例 讀者可以在此下載教學資源含程式碼
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Attention
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Swyft
A python package for neural nested marginal posterior estimation.
Stars: ✭ 45 (+0%)
Mutual labels:  jupyter-notebook
Fastseq
A way to use N-Beats in fastai for sequence data
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Airbnb
Predict the destination countries when user first book using Airbnb
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook
Ant Learn Numpy
Python科学计算库Numpy的代码实现
Stars: ✭ 45 (+0%)
Mutual labels:  jupyter-notebook
Match rcnn unfinished draft
Tianchi New Product Laboratory - Taobao Live Product Identification 天池大赛项目:天池新品实验室 - 淘宝直播商品识别
Stars: ✭ 45 (+0%)
Mutual labels:  jupyter-notebook
Ngcm Tutorial
Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.
Stars: ✭ 44 (-2.22%)
Mutual labels:  jupyter-notebook

Social Data Science

Git repo for the webpage for summer school in Social Data Science at the Faculty for Social Sciences at University of Copenhagen (Summer 2019)

This repo contains material inspired by the original webpage by Sebastian Barfort for the 2016 version of the course, see here and the summer school in 2017, 2018.

License

This project is released under the MIT License, which basically lets you do anything you want with my code as long as you provide attribution back to me and don’t hold me liable.

MIT License

Copyright (c) 2019 Andreas Bjerre-Nielsen

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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].