Vincent-Maladiere
ML Research Engineer at @soda-inria • Contributor @scikit-learn and @skrub-data
InriaParis
Vincent-Maladiere's Stars
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
facebookresearch/fastText
Library for fast text representation and classification.
mistralai/mistral-inference
Official inference library for Mistral models
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
theicfire/makefiletutorial
Learn make by example
jupyterlite/jupyterlite
Wasm powered Jupyter running in the browser 💡
mistralai/mistral-finetune
pkivolowitz/asm_book
A book teaching assembly language programming on the ARM 64 bit ISA. Along the way, good programming practices and insights into code development are offered which apply directly to higher level languages.
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
benchopt/benchopt
Making your benchmark of optimization algorithms simple and open
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
codezonediitj/pydatastructs
A python package for data structures and algorithms
rth/vtext
Simple NLP in Rust with Python bindings
ray-project/xgboost_ray
Distributed XGBoost on Ray
aphp/edsnlp
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
koaning/arxiv-frontpage
My personal frontpage app
openteamsinc/closember
soda-inria/carte
Repository for CARTE: Context-Aware Representation of Table Entries
soda-inria/hazardous
Competing Risks and Survival Analysis
aphp/eds-pseudo
EDS-Pseudo is a hybrid model for detecting personally identifying entities in clinical reports
aphp/edspdf
EDS-PDF is a generic, pure-Python framework for text extraction from PDF documents. It provides the machinery to use rule- or machine-learning-based approaches to classify text blocs between body and meta-data.
WLM1ke/LedoitWolf
Ledoit-Wolf covariance matrix estimator of stock returns
aphp/eds-scikit
eds-scikit is a Python library providing tools to process and analyse OMOP data
soda-inria/survival-analysis-benchmark
Exploratory repository to study predictive survival analysis models
dirty-cat/dirty_cat
Machine learning on dirty tabular data (legacy clone of skrub)
aphp/edsteva
EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
soda-inria/caussim
Simulations for predictive model selection in causal inference
stefan6419846/license_tools
Collection of tools for working with Open Source licenses
WillAyd/bearly
Bearly is a dataframe library with barely any features
skurvival/sandbox