alanganem Goto Github PK

alanganem.github.io

Personal blog containing some of my thoughts on data science topics.

ambev_estudos_isl

Repository with material related to the chapters of the book Introduction to Statistical Learning (ISL)

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ciencia-e-visualizacao-de-dados-em-saude

atividades da matéria Ciência e visualização de dados em saúde.

cleanupsimulator

An after clean up, Saturday night medidation on why the corners of the rooms are always dirtier.

cool-feature-selection

A set of curated/self developed feature selection methods

cuml

cuML - RAPIDS Machine Learning Library

distilationclassifier

100% random idea.

distributed-dcgan

Scalabilty studies on DCGAN

ds4-health

trabalhos da matéria Ciencia e vizualização de dados na saúde, ministrada em 2022 para o programa de mestrado em computação da Unicamp.

ds4health-survival-modelling

Code and report on survival modelling of patient data generated by synthea.

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.

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

fastai-flow

a fastai pipeline framework for easy model training, inference and validation

fkausality

A causal inference framework for both continuous and discrete treatments using forest kernel method to find valid counterfactuals in treatment orthogonalized partitions of feature space.

gacathon-iflittlebackneck-2020

IfLittleBackNeck

graphviz2drawio

Convert graphviz (dot) files into draw.io (mxGraph) format

gromacs-mo833a

group-wise-mixin

A set of abstractions for handling estimators (objects) in group-wise (pandas.groupby) fashion.

heartwood

A library containing metric learning and supervised kernel estimators, using general estimators, but mainly Forests node embeddings space.

heterogeneous-metric-learning

Set of hand crafted methods (they lack papers backing them and came from voices inside my head) for metric learning with heterogeneous data (ideally robust to NaNs aswell)

home

Homepage of the Discipline Data Science and Visualization for Health

keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

knn-sampler

A Monte Carlo sampling tool based the closer points of a distance query.

limarka

Escreva seu trabalho de conclusão de curso com as normas da ABNT em Markdown

managenetsmvp

An application for process modelling using de Resources-Activities-Actors (RAA) network model

mini-pipe-flow

A minimalist machine learning pipeline framework for model deployment

mlutils

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mo436---twitter-bot-detection

Repo containing files for MO436 classes on synthetic realities (2023.2)