Pinned Repositories
AGLocationDispatcher
Location manage framework working in different modes
ai-pizza
air-quality-covid19-response
repository for latest CAMS European air quality analyses
airVLC
airVLC es el Trabajo Final de Máster del MUGI (UPV).
alzheimers-dementia
Alzheimer's dementia classification and MMSE score regression
Alzheimers-DL-Network
A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.
anonymisation
Repertoire sur l'anonymisation
anonypy
Anonymization library for python. Protect the privacy of individuals.
ArticleClassifier
Literature indexing using Graph Neural Networks and label-guided text embeddings.
ricciardi's Repositories
ricciardi/air-quality-covid19-response
repository for latest CAMS European air quality analyses
ricciardi/ArticleClassifier
Literature indexing using Graph Neural Networks and label-guided text embeddings.
ricciardi/Atlas
Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas
ricciardi/bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
ricciardi/causal-inference-in-R
Work in Progress!
ricciardi/CausalImpact
An R package for causal inference in time series
ricciardi/causalml
Uplift modeling and causal inference with machine learning algorithms
ricciardi/chatgpt-clone
this app is a ChatGPT Clone with DALL.E using OpenAIs text-davinci-003 and image generation Model
ricciardi/CNN-RNN-Yield-Prediction
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
ricciardi/Code-for-A-Data-Driven-Crop-Model-for-Maize-Yield-Prediction
ricciardi/Commodity-Trading-Agent
A Reinforcement Learning-based agent for product procurement in an agri-commodity setting.
ricciardi/correlation
:link: Methods for Correlation Analysis
ricciardi/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ricciardi/green-stock-return-twitter-sentiment
Trying to find correlations between Twitter sentiment on climate change and stock returns. Accompanying code for my LSE dissertation.
ricciardi/Medium
Notebooks and scripts for my Medium publications
ricciardi/mephas_web_UFF
MEPHAS web server open source
ricciardi/ML_Covid19
ricciardi/Multimodal_Neural_ODEs
ricciardi/MultiNODEs
ricciardi/openai-python
The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.
ricciardi/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ricciardi/pca
pca is a python package to perform Principal Component Analysis and to create insightful plots.
ricciardi/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
ricciardi/quant_uff
Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.
ricciardi/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
ricciardi/Research-Spring2021
Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.
ricciardi/Robyn
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
ricciardi/targets
Function-oriented Make-like declarative workflows for R
ricciardi/web-network-test
ricciardi/WNV_drivers_study
The repository contains the main scripts, data used in the study "Artificial intelligence to predict West Nile Virus outbreak drivers with eco-climatic drivers"