glandfried / TrueSkillThroughTime
TrueSkill Through Time: the Julia, Python and R packages.
☆25Updated last month
Alternatives and similar repositories for TrueSkillThroughTime:
Users that are interested in TrueSkillThroughTime are comparing it to the libraries listed below
- The TrueSkill Through Time Python Package☆36Updated last month
- Pairwise comparisons with flexible time-dynamics.☆59Updated 4 years ago
- Extensions to the Elo algorithm implemented in JAX☆13Updated 2 years ago
- ☆10Updated 5 years ago
- PageRank Applied to Sports Teams☆8Updated 6 years ago
- Using probabilistic programming to infer player ratings from matchup data.☆13Updated 4 years ago
- OptCAT (= Optuna + CatBoost)☆9Updated 4 years ago
- An implementation of the Elo rating system for Python☆96Updated last year
- Elo algorithm implementation in Python☆76Updated 6 years ago
- State-space model perspective on rating systems (pairwise comparisons).☆15Updated 2 weeks ago
- Multiplayer Rating System. No Friction.☆286Updated last week
- Paired comparison model using Gaussian Process prior☆13Updated 6 years ago
- ⚽ Pro-grade football data modeling and betting toolkit | Powered by https://pena.lt/y/blog☆61Updated this week
- The generalised Kelly Criterion (a.k.a. The Real Kelly) for mutually exclusive outcomes☆19Updated 4 years ago
- Machine Learning project using 15 seasons of NBA data (2005-2020) to predict player position. Decision Trees, Random Forests, Support Ve…☆8Updated 4 years ago
- Github mirror of my original https://code.google.com/archive/p/pyglicko2/. For details about the Glicko-2 rating system see: http://www.g…☆36Updated 4 years ago
- Margin-dependent Elo ratings and predictions☆16Updated 11 months ago
- Implementing ASA's Win Probability Model☆18Updated 2 years ago
- ☆12Updated 4 years ago
- Inference of relative ability from winning probabilities☆44Updated 2 weeks ago
- Gradient boosting on steroids☆27Updated 8 months ago
- using probabilistic programming to build win probability model for NCAAM basketball☆17Updated 4 years ago
- Python implementation of Shin's method for calculating implied probabilities from bookmaker odds☆82Updated last month
- goto_conversion - Used by 4+ Gold Medal Solutions on Kaggle☆76Updated last week
- SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions …☆40Updated 4 years ago
- Code for MIT Sloan Sports Analytics Conference☆10Updated 7 years ago
- Synchronize soccer event and tracking data☆34Updated 9 months ago
- Code examples for using the pbpstats.com API☆15Updated 2 years ago
- Python implementation of Plackett-Luce ranking model☆16Updated 8 years ago
- A Python Library for Consuming Transactions from Pro Sports Transactions (https://www.prosportstransactions.com)☆13Updated last year