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librosa

Python library for audio and music analysis

llm4rec

The repo of Large Lanuage Model (LLM) for recommendation system.

lnets

Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

local_bures_wasserstein

machine-learning-with-python

Python code for common Machine Learning Algorithms

markov-chain-attribution

A PoC for a fractional attribution model

mining-the-social-web-2nd-edition

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

ml-fairness-gym

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mmbt

Supervised Multimodal Bitransformers for Classifying Images and Text

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

neurovault_retreat2015

Lorem Ipsum es simplemente el texto de relleno de las imprentas y archivos de texto. Lorem Ipsum ha sido el texto de relleno estándar de las industrias desde el año 1500, cuando un impresor (N. del T. persona que se dedica a la imprenta) desconocido usó una galería de textos y los mezcló de tal manera que logró hacer un libro de textos especimen. No sólo sobrevivió 500 años, sino que tambien ingresó como texto de relleno en documentos electrónicos, quedando esencialmente igual al original. Fue popularizado en los 60s con la creación de las hojas "Letraset", las cuales contenian pasajes de Lorem Ipsum, y más recientemente con software de autoedición, como por ejemplo Aldus PageMaker, el cual incluye versiones de Lorem Ipsum

neurovault_retreat_2016

nilearn

Machine learning for NeuroImaging in Python

nltk

NLTK Source

nnpulearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

onlinelearningtorank

ontoalign

Codes relevant to ontology alignment

openne

An Open-Source Package for Network Embedding (NE)

pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

peerread

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

pipeline-examples

A collection of examples, tips and tricks and snippets of scripting for the Jenkins Pipeline plugin

plotneuralnet

Latex code for making neural networks diagrams

poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Implementations"

popular-zsl-algorithms

Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol

positivum

A web application which categorizes news articles by sentiment

pot

Python Optimal Transport toolbox