Axelrod-Python / axelrod-dojo
Trains machine learning strategies for the IPD with evolutionary and particle swarm algorithms, including neural networks and finite state machines
☆12Updated 5 years ago
Alternatives and similar repositories for axelrod-dojo:
Users that are interested in axelrod-dojo are comparing it to the libraries listed below
- Collection of scripts for doing common transformations in machine learning☆21Updated 12 years ago
- Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups☆9Updated 9 years ago
- a machine learning platform for teams☆19Updated 7 years ago
- ADENINE: A Data ExploratioN PipelINE☆15Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- ☆46Updated 11 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆65Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Textual Analysis of speeches using Google's Word2Vec Model☆31Updated 4 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- A tool that evolves small brains capable of scanning and classifying an image.☆13Updated 8 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- ☆10Updated 8 years ago
- The Path of the PyData Ninja☆16Updated 9 years ago
- Sample code for generative recurrent autoencoders.☆25Updated 8 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Uncertainty quantification book chapter☆50Updated 9 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 years ago
- ☆14Updated 9 years ago
- These are the IPython notebook files for the CSC 432 Spring '13 course.☆23Updated 9 years ago
- A streaming cross-cat inference engine☆19Updated 10 months ago
- Flask app to run a bandit algorithm testing different beer recommenders☆25Updated 10 years ago
- Attempt at using neural networks for the bAbI project (https://research.facebook.com/researchers/1543934539189348)☆8Updated 9 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago