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Giovanni's starred repositories

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Language:Jupyter NotebookApache-2.0976500

cicirello

My GitHub Profile

300

repo-badges

:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.

Language:HTML288400

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

Language:PythonNOASSERTION134900

candlestick-patterns

Candlestick patterns detector

Language:PythonMIT42100

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT2202200

awesome-actions

A curated list of awesome actions to use on GitHub

CC0-1.02428800

copilot-docs

Documentation for GitHub Copilot

CC-BY-4.02324400

awesome-mlops

A curated list of references for MLOps

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

Language:JavaScript4761000

PDPbox

python partial dependence plot toolbox

Language:Jupyter NotebookMIT83000

Pandas-Bokeh

Bokeh Plotting Backend for Pandas and GeoPandas

Language:PythonMIT87600

coinbaseprotracker

Coinbase Pro Portfolio Tracker

Language:PythonApache-2.04000

casiopeia

Casadi Interface for Optimum experimental design and Parameter Estimation and Identification Applications

Language:PythonLGPL-3.03400

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Language:PythonLGPL-3.0956700

pingouin

Statistical package in Python based on Pandas

Language:PythonGPL-3.0156400

bta-lib

Technical Analysis library in pandas for backtesting algotrading and quantitative analysis

Language:PythonMIT44300

pymer4

All the convenience of lme4 in python

Language:PythonMIT18900

acados

Fast and embedded solvers for nonlinear optimal control

Language:CNOASSERTION70600

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Language:C++LGPL-3.0160100