Fitwrap
Usage of fitwrappar package. Fit in one line of code.
Matplotlib
Collection of matplotlib examples. Collection of common arguments for plotting functions.
Pandas cheat-sheet
Collection of common ideas to work with Pandas dataframes.
![colab snippets](asset/images/home/colab.png)
Colab Snippets
Collection of google colab snippets for ML.
![bayesian optimization](asset/images/home/bayes_opt.png)
Bayesian Opt
Example of Bayesian optimization for hyper-parameters tuning.
![feature selection](asset/images/home/dimensionality_reduction_paint.png)
Feature selection
Collection of dimensionality reduction algorithm from sklearn.
Pandas groupby
Groupby, filter, aggregate, transform & apply.
![geopandas](asset/images/home/geopandas.png)
Geopandas
Use geographic data to plot informations from a panda dataframe.
Simple EDA
Python snippet to perform a simple explorational data analysis on a dataframe.
k-armed bandit
Exploiting reinforcement learning strategies to tackle the k-armed bandit problem.
![vae](asset/images/home/vae.png)
VAE
Example of Variational Auto Encoder using MNIST dataset.
![monte carlo downhill](asset/images/home/mc_downhill_cut.png)
Monte Carlo for RL
Simple code for three Monte Carlo methods for RL (exploring starts, epsilon-greedy, off-policy).
![data scaling](asset/images/home/preprocessing.png)
Data scaling
Collection od normalizations and standardizations techniques.
Histogram sampling
Sample from unknown 1D or 2D distributions using histograms.
![autoencoder](asset/images/home/autoencoders.png)
Autoencoders
Simple denoising autoencoder neural network.
![matplotlib gif animation](asset/images/home/gif-animation.png)
Matplotlib gif
Create gif animation with matplotlib.
Iterative policy
Solving a simple maze problem exploiting iterative policy evaluation method.
![deep mouse](asset/images/home/deep_mouse.png)
DeepMouse
Thought processes behind the development of a neural network.
Pyspark intro
A few pyspark examples on Databricks and Google Colab.
![numpy](asset/images/home/numpy.png)
Numpy
Collection of notes about the numpy library.
![quarter car](asset/images/home/quarter_car.png)
Scipy: solve ODE
Solving the quarter car model system using scipy.
![other](asset/images/home/neural_network.png)
NN from scratch
Simple implementation of neural network with genetic evolution from scratch (numpy only).
![griddata](asset/images/home/griddata.png)
Griddata
Interpolate 2D data-points to a given coordinate grid.
Jupyter imports
List of standard data analysis imports and magics.
![jupyter live plot](asset/images/home/random_walk.png)
Plot live update
Jupyter live plot update and random walk demonstration.
![xray U-net](asset/images/home/xray.png)
X-ray PNX
Diagnosis and localization of PNX problem from X-ray images using U-net.
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.
![data_exploration](asset/images/home/data_explo.png)
Data exploration
Common utilities for preliminary data exploration.
![ml pipeline](asset/images/home/ml-pipeline.png)
ML snippets
Common function for data preparation.
![ml pipeline](asset/images/home/torch_tfboard.png)
Torch tensorboard
Example of tensorboard in a pytorch project.
Train generator
Blueprint of a python generator to train machine learning models.
![feature importance](asset/images/home/feature_importance.png)
Feature importance
Feature importance using random forest and permutation importance.
Sort lists
Sort more than one list together.
Unix commands
A list of usefull unix commands
TFlite setup
Setup of tensorflow, tensorflow lite and coral usb accelerator on Ubuntu.
![argparse](asset/images/snippets/argparse.png)
Argparse
Parse command line arguments in python.
![chow](asset/images/home/chow_icon.png)
Chow statistics
Simple method to find discontinuities in lineardata.