Gianni De Rossi's Projects
Simple R bindings for BigML.io
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
A set of scripts to allow a fast Qlikview Cloud generation starting from one or many Dimensional Models
Computing for Data Analysis
Folding@home COVID-19 efforts
Peer-to-peer lending interest rate analysis
Predictive model for Human Activity Recognition
COVID-19 Italia - Monitoraggio situazione
Decision Tree models
Questo รจ il repository ufficiale del mini degree in Time Series di Deep Learning Italia Academy
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
TensorFlow examples
Build large language model (LLM) apps with Python, ChatGPT and other models. This is the companion repository for the book on generative AI with LangChain.
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Config files for my GitHub profile.
Grok open release
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
R functions for fitting latent factor models with internal computation in C/C++
Setup of LLM Apps to be launched. RAG with SingleStore + LangChain + OpenAI
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Data, Benchmarks, and methods submitted to the M5 forecasting competition
M5 Competition Data
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Machine Learning (Prof. Andrew Ng, Stanford University)
Virtual Math Lab
Multifractals - generation of 2D/3D grayscale images
Companion webpage to the book "Mathematics For Machine Learning"
Jupyter notebooks for the Natural Language Processing with Transformers book