Davide Grimaldi's repositories
Quick-paths-to-start
A series of quick paths to start on various subjects
Self-Reflexive-Neural-Network-in-tensorflow
Self-reflexive neural network developed by professor Massimo Buscema at the Semeion research center (Rome, Italy) in the 80s implemented in modern tensorflow
comparison-of-different-clustering-techniques-with-metrics
Comparison of different clustering techniques: KMeans, Hierarchical Agglomerative, Fuzzy, Affinity propagation, SOM. with metrics
Numpy_vs_Tensorflow_vs_Cython_vs_C_vs_Rust
Matrix multiplication speed comparison between Numpy-Tensorflow-Cython-C-Rust
Vertex-AI-pipeline-kubeflow
A basic ML pipeline with Kubeflow deployed on Google Cloud Platform using Vertex AI
awesome-github-profile-readme-templates
This repository contains best profile readme's for your reference.
Collaborative-filtering-with-matrix-factorization
Collaborative filtering with matrix factorization using Scipy library
find-best-k-for-knn-imputer
Method to find the best value of k for KNN imputer
first-contributions
🚀✨ Help beginners to contribute to open source projects
Forecasting-and-Google-Trends-API
Improve forecasting model's performance with exogenous date taken from Google Trends API
Forecasting-using-multiple-neural-networks-Tensorflow
Robust forecasting using multiple neural networks, every DNN is single step multiple outputs. Combine forecasts into a mean forecast with 95% confidence intervals
From-pdf-to-dataframe-with-tabula
An example of dataframe extraction from pdf files using pandas and tabula
MLFLOW-example
Use MLFLOW for tracking models experiments (XGBoost) and serve a containerized model
my-code-playground
My code playground
Neural-style-transfer
Neural style transfer leveraging Tensorflow Hub
OSINT-Linkedin-meta-analysis-
OSINT leveraging Linkedin data
PCA-vs-SparsePCA-test
Comparison between PCA and Sparse PCA on a famous toy dataset, verification of which technique is able to better separate the members of criminal gangs
Pillole-di-Data-science
Una serie di piccoli recap creati per illustrare concetti di data science a colleghi non addetti ai lavori
Prophet-templates
Prophet library templates for forecasting
PySpark-Basics
Sample code with spark dataframe manipulation and linear regression
Scientific-computing-examples-in-C
Scientific computing examples in C
Sigma-equation-plotly-dash-app
Plotly dash visualization for the sigma equation
Simple-Collaborative-Filtering-with-Pandas
A basic example of collaborative filtering in Python using the MovieLens 100k dataset
SKTIME_forecasters_comparison
Brief comparison between the principals forecaster of the SKTIME python package for time series analysis
Test-hyperparametrization-with-genetic-algorith
Hyperparametrization test with a genetic algorithm
triggered-pipeline-gcp-kubeflow
Pipeline on GCP with kubeflow in which preprocessed data flow into a forecast model train and evaluation, the pipeline is triggered by a GCP cloud function
web-scraping-project
web scraping of company balance sheet data from "tuttodati.it"