# Fitwrap

Usage of fitwrappar package. Fit in one line of code.

# X-ray PNX

Diagnosis and localization of PNX problem from X-ray images using U-net.

# k-armed bandit

Exploiting reinforcement learning strategies to tackle the k-armed bandit problem.

# Matplotlib

Collection of matplotlib examples. Collection of common arguments for plotting functions.

# Pandas cheat-sheet

Collection of common ideas to work with Pandas dataframes.

# VAE

Example of Variational Auto Encoder using MNIST dataset.

# Monte Carlo for RL

Simple code for three Monte Carlo methods for RL (exploring starts, epsilon-greedy, off-policy).

# Data scaling

Collection od normalizations and standardizations techniques.

# Geopandas

Use geographic data to plot informations from a panda dataframe.

# Histogram sampling

Sample from unknown 1D or 2D distributions using histograms.

# Autoencoders

Simple denoising autoencoder neural network.

# Feature selection

Collection of dimensionality reduction algorithm from sklearn.

# Iterative policy

Solving a simple maze problem exploiting iterative policy evaluation method.

# DeepMouse

Thought processes behind the development of a neural network.

# Numpy

Collection of notes about the numpy library.

# Bayesian Opt

Example of Bayesian optimization for hyper-parameters tuning.

# NN from scratch

Simple implementation of neural network with genetic evolution from scratch (numpy only).

# Griddata

Interpolate 2D data-points to a given coordinate grid.

# Jupyter imports

List of standard data analysis imports and magics.

# Plot live update

Jupyter live plot update and random walk demonstration.

# Text progressbar

Simple implementation of a text progressbar.

# ST3 key bindings

Custom key bindings for Sublime Text editor.

# SARSA and Q-learn

Usage examples of Q-learning and SARSA algorithms.

# Pandas merge

Merging pandas dataframe for dummies.

# Sort lists

Sort more than one list together.