adrigabzu
MSc, PhD. Postdoctoral researcher in Complexity and Big Data in Public Health.
University of CopenhagenCopenhagen, Denmark
adrigabzu's Stars
Lancelot39/Causal-Copilot
ibis-project/ibis
the portable Python dataframe library
nrennie/messy
R package to make a data frame messy and untidy.
ModelOriented/survex
Explainable Machine Learning in Survival Analysis
OlgaChernytska/word2vec-pytorch
Implementation of the first paper on word2vec
ryantibs/conformal
Tools for conformal inference in regression
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
black-forest-labs/flux
Official inference repo for FLUX.1 models
typesense/typesense
Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
realworlddatascience/realworlddatascience.github.io
Source code and files for Real World Data Science website.
salimamoukou/acv00
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
naszilla/tabzilla
AnacletoLAB/grape
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
centre-for-humanities-computing/embedding-explorer
Tools for interactive visual exploration of semantic embeddings.
bluxmit/alnoda-workspaces
:fireworks: Flexible and extendable containerized workspaces. Now. with free offline chat GPT!!! 🚀🚀🚀
Avaiga/taipy
Turns Data and AI algorithms into production-ready web applications in no time.
dselivanov/text2vec
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
aangelopoulos/ppi_py
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
cienciadedatosysalud/cdmb
Common Data Model Builder
beamandrew/cui2vec
cbh123/narrator
David Attenborough narrates your life
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
youssefHosni/Efficient-Python-for-Data-Scientists
Writing clean and optimized Python code
roamanalytics/mittens
A fast implementation of GloVe, with optional retrofitting
BasisResearch/chirho
An experimental language for causal reasoning
clinicalml/embeddings
Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"
AlaaLab/conformal-metalearners
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
MI2DataLab/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models