napsternxg / ipython-notebooks
Some iPython Notebooks I have created for personal learning
☆65Updated 11 months ago
Alternatives and similar repositories for ipython-notebooks:
Users that are interested in ipython-notebooks are comparing it to the libraries listed below
- ☆58Updated 9 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 7 years ago
- Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)☆30Updated 8 years ago
- Understanding Probabilistic Topic Models with Simulation in Python☆64Updated 7 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015☆50Updated 9 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- ☆36Updated 9 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Random fiddling stored in notebooks☆22Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 2 years ago
- Recommender systems in Python☆50Updated 10 years ago
- Advanced git and github course material☆39Updated 6 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 9 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- ☆30Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 8 years ago
- ☆25Updated 8 years ago
- Multilayer Feed-Forward Neural Network predictive model implementations with TensorFlow and scikit-learn☆45Updated 2 years ago
- My Tutorial for PyData London☆25Updated 9 years ago