Serafina Di Gioia (Sera91)

Sera91

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Company:SISSA/ICTP

Location:Trieste

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Serafina Di Gioia's repositories

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bnlearn

:exclamation: This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Inference. Homepage: https://www.bnlearn.com/

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bnlearn-1

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

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CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

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ComputationalPhysics

Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.

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course-nlp

A Code-First Introduction to NLP course

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CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

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CUDA.jl

CUDA programming in Julia.

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cudahandbook

Source code that accompanies The CUDA Handbook.

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CUDALibrarySamples

CUDA Library Samples

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DALL-E

PyTorch package for the discrete VAE used for DALL·E.

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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dslectures

Course materials for introductory data science

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gprof2dot

Converts profiling output to a dot graph.

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hpc-python

Python in High Performance Computing

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julia

The Julia Programming Language

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julia-gpu-course

GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich

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Neural-GC

Granger causality discovery for neural networks.

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pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

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pyFFTW

A pythonic python wrapper around FFTW

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PytorchGeometricTutorial

Pytorch Geometric Tutorials

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r-causal

R Wrapper for Tetrad Library

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subsets

Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.

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TDA-tutorial

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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