g0bel1n

DDQL-optimal-execution

Double Deep Q-Learning for Optimal Execution implementation

TinyAutoML

TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin

fast_shapelets

Implementation of Fast Shapelets: A Scalable Algorithm for Discovering Time Series Shapelets

EnergyBot

Ensae Cloud Computing Project

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." https://arxiv.org/abs/2211.14730

swarmpy_tsp

Swarmpy_tsp is a Python Library to easily build customizable Ant Colony Optimization pipelines for solving Traveling Salesman Problems

textual-ood-detection

Leveraging latent representations for efficient textual OOD detection

bayesian-turning-point-estimation

bird_classification

caPytal-simulator

deep-FinGAF

deep-hair

deep-ts

fhcm

g0bel1n

hackathon-EFI2022

kernel-methods

ml4pmt

mva-vision

NLP_ENSAE_2023

notes

Random notes i keep

ott

Optimal Transport tools implemented with the JAX framework, to get auto-diff, parallel and jit-able computations.

quantools

random-stuff

Robust-Geodesic-Regression

Code for the paper 'Robust Geodesic Regression'

statsapp

styleTransfer4EnsaeKiabi

swarmpy

time-series-representation-learning

tutorials-mva-2023

Tutorials for the Machine Learning for Time Series class - Master MVA (2022/2023)