mfiorani
Data scientist with heterogeneus background. Data science, machine learning, IS, UX/UI.
Genomedics s.r.l.Florence, Italy
mfiorani's Stars
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
mindsdb/mindsdb
The platform for building AI from enterprise data
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Marcnuth/AnomalyDetection
Twitter's Anomaly Detection in Pure Python
robjhyndman/forecast
Forecasting Functions for Time Series and Linear Models
LeCoupa/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
gkvoelkl/python-sonic
Programming Music with Python, Sonic Pi and Supercollider
sonic-pi-net/sonic-pi
Code. Music. Live.
shap/shap
A game theoretic approach to explain the output of any machine learning model.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
arvkevi/kneed
Knee point detection in Python :chart_with_upwards_trend:
bharatsdev/production-ready-model
Make machine learning application production ready
rawgraphs/rawgraphs-app
A web interface to create custom vector-based visualizations on top of RAWGraphs core
conradho/dashingdemo
cpsievert/plotly_book
plotly for R book
andrgig/Data-Science-for-Management
Data Science for Management course
tidymodels/tidymodels
Easily install and load the tidymodels packages
topepo/rstudio-conf-2019
Slide, code and data for "Applied Machine Learning" at Rstudio-conf 2019
topepo/DC-ML-2018
Materials for the Applied Machine Learning Workshop in Washington DC
ncordon/imbalance
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
redichh/ShapleyR
Package for a nice and smoothe usage of the shapley value for mlr
dixonandmoe/rellax
Lightweight, vanilla javascript parallax library
opencpu/opencpu-server
Installation packages (deb, rpm, docker) for OpenCPU cloud server
r-lib/usethis
Set up commonly used 📦 components
stekhoven/missForest
missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.
giuseppec/iml
iml: interpretable machine learning R package
dmlc/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.