Menelau

DESlib

A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is hosted on scikit-learn-contrib: https://github.com/scikit-learn-contrib/DESlib

Hate-Speech-MCS

Official implementation of the paper "Selecting and combining complementary feature representations and classifiers for hate speech detection"

synthetic_datasets

A python code for the generation of synthetic datasets for pattern recognition

gti770-student-framework

Student framework to realize the four labs of École de technologie supérieure's GTI770-Systèmes intelligents et apprentissage machine course.

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pymfe

Python Meta-Feature Extractor package.

baggingds

Repository for the Python code for the algorithms in the article "An investigation into the effects of label noise on Dynamic Selection algorithms".

CVPR-2021-L2ID-Classification-Challenges

Learning from Limited and Imperfect Data (L2ID): Classification Challenges

menelau.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

darts

Differentiable architecture search for convolutional and recurrent networks

deep-neuroevolution

Deep Neuroevolution

Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

learning-to-learn

Learning to Learn in TensorFlow

leo

Implementation of Meta-Learning with Latent Embedding Optimization

LOG635-Jupyter-Notebooks

Exemples - Jupyter notebooks

LOG645-Course-examples

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

manim

Animation engine for explanatory math videos

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

MLRS-PDS

Meta-learning recommendation system for pool generation scheme and dynamic ensemble selection algorithm

nasbot

Neural Architecture Search with Bayesian Optimisation and Optimal Transport

PT-MAP

A Few-Shot classification algorithm

pycma

Python implementation of CMA-ES

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

scikit-learn

scikit-learn: machine learning in Python

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface