jmckib / bdm-scholz-expected-utility-model
A Python implementation of a political forecasting model by Scholz, Calbert & Smith.
☆11Updated 8 years ago
Alternatives and similar repositories for bdm-scholz-expected-utility-model:
Users that are interested in bdm-scholz-expected-utility-model are comparing it to the libraries listed below
- Jupyter notebook + Code for reproducing Reddit Subreddit graphs☆17Updated 8 years ago
- Deep learning certificate part 1☆10Updated 2 years ago
- ☆22Updated 5 years ago
- framework for making streamcorpus data☆11Updated 8 years ago
- 💫 Runtime performance comparison of spaCy against other NLP libraries☆20Updated 2 years ago
- Infinite relational model (IRM) for datamicroscopes☆14Updated 9 years ago
- This repository contains research we conduct at Vocapouch we want to share with the world.☆22Updated 7 years ago
- Eyebrowser Server☆29Updated 6 years ago
- A curated list of feature engineering techniques for image and text machine learning☆50Updated 7 years ago
- Datasets and notebooks☆13Updated 8 years ago
- An agent library for systems of nested automata.☆42Updated 7 years ago
- Implementation of "A Parallel Spatial Co-location Mining Algorithm Based on MapReduce" paper☆49Updated 7 years ago
- Traptor -- A distributed Twitter feed☆26Updated 2 years ago
- Unsupervised ML algorithm for predictive modeling and time-series analysis☆38Updated 4 years ago
- Mad (╯°□°)╯'ing☆10Updated 2 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 7 years ago
- Twitterbot that uses machine learning to curate interesting arXiv papers☆43Updated 6 years ago
- Fast and modular async task library for Google App Engine.☆37Updated last year
- Collection of pointers to slides and repositories from speakers at PyData Berlin 2016☆37Updated 8 years ago
- Tweets Sentiment Analyzer☆52Updated 12 years ago
- An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)☆35Updated 8 years ago
- Extract tabular data and semantically discover it with ease! (OS)☆21Updated 9 years ago
- two strange things to do with neural nets☆16Updated 6 years ago
- Load a linkedin network w/ python py2neo into a neo4j database, serve it via node.js, and display it w/ sigma.js☆29Updated 11 years ago
- ☆12Updated 8 years ago
- Example scripts for various deep learning APIs.☆28Updated 9 years ago
- SmallK: very fast data clustering tools☆14Updated 5 years ago
- Research Debt☆25Updated 6 years ago
- Automated NLP sentiment predictions- batteries included, or use your own data☆18Updated 7 years ago
- Fast, easy and intuitive machine learning prototyping.☆124Updated 10 years ago