Code for predicting the NCAA College Basketball 'March Madness' tournament
☆50Mar 19, 2013Updated 13 years ago
Alternatives and similar repositories for Machine-March-Madness
Users that are interested in Machine-March-Madness are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of the DeSTIN deep learning perception system using the Theano library☆22Jul 10, 2015Updated 11 years ago
- Code for the paper 'Fast Allocation of Gaussian Process Experts'☆15Jan 2, 2014Updated 12 years ago
- Presentations, jupyter notebooks, and python files supporting the Modeling March Madness workshop series☆13Mar 15, 2017Updated 9 years ago
- Machine Learning solution for Kaggle.com's "Partly Sunny with a Chance of Hashtags"☆27Dec 6, 2013Updated 12 years ago
- Code to use machine learning to predict NCAA March Madness brackets for the annual Kaggle competition.☆51Mar 14, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- R code for Kaggle's Loan Default Prediction - Imperial College London challenge☆22Mar 15, 2014Updated 12 years ago
- Tools I've developed over the years to aid in sports betting, primarily NCAA football and NFL.☆21Mar 16, 2013Updated 13 years ago
- UT Austin Machine Learning Group Latent Variable Modeling Toolkit☆26Feb 2, 2012Updated 14 years ago
- Basis data, analysis, and visualization☆15Jan 3, 2014Updated 12 years ago
- Betting lines from pinnacle for data research☆11Jul 19, 2017Updated 9 years ago
- Simple OOP Fortran Definite Integrals Solver☆12Jul 21, 2017Updated 9 years ago
- paper analyzing competitiveness across the four major sports☆20May 25, 2018Updated 8 years ago
- A Machine Learning project to predict the results of the NCAA Men's March Madness Basketball tournament.☆34Jul 12, 2020Updated 6 years ago
- ☆16Jun 7, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- An implementation of the Hessian-free optimization algorithm in Theano☆62Dec 7, 2011Updated 14 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Jan 4, 2015Updated 11 years ago
- MetaOpt optimizes black-box functions in parallel☆22Feb 26, 2017Updated 9 years ago
- theano patch☆19Apr 16, 2012Updated 14 years ago
- clojure utilities to build training corpora for machine learning / NLP out of public wikimedia dumps: status - partially stalled - will p…☆15Jun 9, 2011Updated 15 years ago
- Data from the 18th tournament of the FIBA Basketball World Cup for men's national basketball teams☆17Dec 3, 2020Updated 5 years ago
- A streaming cross-cat inference engine☆20Mar 27, 2024Updated 2 years ago
- Convolutional Neural Networks in Python☆28Oct 18, 2013Updated 12 years ago
- 3 million ESPN 2015 NCAA Tournament Challenge brackets.☆18Mar 25, 2015Updated 11 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Text-to-Speech tutorial at SLTU 2016☆35May 10, 2016Updated 10 years ago
- Gradient-based optimization algorithms in Python☆49Mar 19, 2019Updated 7 years ago
- ☆14Sep 26, 2019Updated 6 years ago
- pandas DataFrame for fortran, with netCDF I/O☆18Dec 24, 2014Updated 11 years ago
- Predicting MLB Games Using Bayesian Models☆13May 22, 2023Updated 3 years ago
- Object Oriented Fortran Library☆15Aug 24, 2015Updated 11 years ago
- ☆21Mar 24, 2016Updated 10 years ago
- A simple GPT-3 interface to automate core legal writing tasks☆13Mar 8, 2023Updated 3 years ago
- Fortran routines from "Solving Least Squares Problems" by C. Lawson and R. Hanson (1995)☆12Jun 21, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code base for analysis performed in the "Walking The Beat" blog post by Jeff Wong☆19May 28, 2021Updated 5 years ago
- Google Chrome extension. Tiling windows manager.☆17Dec 14, 2012Updated 13 years ago
- Processing weather buoy data in parallel☆20Apr 29, 2022Updated 4 years ago
- Using Machine Learning to Bet on the NHL☆16Aug 27, 2018Updated 8 years ago
- ☆73Mar 4, 2012Updated 14 years ago
- Kaggle Competition for Predicting NCAA Basketball Tourney Games☆71Mar 11, 2018Updated 8 years ago
- Code to accompany the paper "Fast Hamiltonian Monte Carlo Using GPU Computing"☆37Nov 3, 2016Updated 9 years ago