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personal:portfolio:home [2022/06/05 18:50] antonello |
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====== Portfolio ====== | ====== Portfolio ====== | ||
- | This page refers to some IT related projects I has been involved in recent years.\\ | + | This page refers to some IT related projects I have been involved in recent years.\\ |
For a list of academic publications refer [[: | For a list of academic publications refer [[: | ||
+ | |||
+ | ===== StrategicGames: | ||
+ | The StrategicGames package provides functionalities to work with n-players strategic games, including finding mixed or pure Nash equilibria in simultaneous games (currently using support enumeration or solving the complementarity problem).\\ | ||
+ | **Skills**: Computational game theory, Nash equilibrium\\ | ||
+ | **Year**: 2023\\ | ||
+ | [[https:// | ||
===== BDisposal: A library to perform non parametric efficiency and productivity analysis through the B-disposal scheme ===== | ===== BDisposal: A library to perform non parametric efficiency and productivity analysis through the B-disposal scheme ===== | ||
- | The BDisposal package proposes a serie of environmental efficiency and productivity algorithms for non-parametric modelling when we relax the disposability assumption of some of the outputs and/or inputs (e.g. pollution). These efficiency and productivity measures are implemented through convex and non-convex Data Envelopment Analysis (DEA) (aka Frontier Efficiency Analysis) models. | + | The BDisposal package proposes a serie of environmental efficiency and productivity algorithms for non-parametric modelling when we relax the disposability assumption of some of the outputs and/or inputs (e.g. pollution). These efficiency and productivity measures are implemented through convex and non-convex Data Envelopment Analysis (DEA) (aka Frontier Efficiency Analysis) models.\\ |
**Skills**: Data Envelopment Analysis, Production frontiers\\ | **Skills**: Data Envelopment Analysis, Production frontiers\\ | ||
**Year**: 2021\\ | **Year**: 2021\\ | ||
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===== BetaML: The Beta Machine Learning Toolkit ===== | ===== BetaML: The Beta Machine Learning Toolkit ===== | ||
- | A rather complete library of Machine learning algorithms (supervised and unsupervised) and ML-workflow related utility functions (kernels, losses, optimisers, samples, encoders...) | + | A rather complete library of Machine learning algorithms (supervised and unsupervised) and ML-workflow related utility functions (kernels, losses, optimisers, samples, encoders...)\\ |
**Skills**: Julia, ML\\ | **Skills**: Julia, ML\\ | ||
**Year**: 2021\\ | **Year**: 2021\\ | ||
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===== Vcat: Cut and merge video segments ===== | ===== Vcat: Cut and merge video segments ===== | ||
- | Python script to cut and merge video segments in a easy-to-use interface (useful when you discover in a one hours filmed lesson you said something idiot on minute X ;-) ) | + | Python script to cut and merge video segments in a easy-to-use interface (useful when you discover in a one hours filmed lesson you said something idiot on minute X ;-) )\\ |
**Skills**: python, ffmpeg, moviepy\\ | **Skills**: python, ffmpeg, moviepy\\ | ||
**Year**: 2019\\ | **Year**: 2019\\ |