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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

darts

Differentiable architecture search for convolutional and recurrent networks

deep-neuroevolution

Deep Neuroevolution

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

flux.jl

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

gti770-student-framework

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

hate-speech-mcs

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

imbalanced-learn

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

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

menelau.github.io

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

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

numerical-linear-algebra

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

pt-map

A Few-Shot classification algorithm

pycma

Python implementation of CMA-ES

pymfe

Python Meta-Feature Extractor package.

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

synthetic_datasets

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