Applying GANs for data augmentation and image segmentation for brain MRI

BackCLIP: a tool to identify common background presence in PAR-CLIP datasets

Behavioral Biometrics: Re-inventing Authentication using Python

Beyond Jupyter: Other environments to do scientific programming in Python

Capturing knowledge in code

Dendron: a library to assess stability of clustering patterns on HCA

Diagnóstico de epilepsia: Utilizando Python para analizar señales cerebrales

High-Performance Pandas part 2: Time Based Analysis Using Pandas

La R[*]volución de Jupyter

Python in algotrading lectures

The intraday market at Bolsa de Valores de Colombia

The pandas of the future

Uplift Modelling for selecting maximal impact treatment for customers

Visualizing genomic data with python

What to Wear? Recomendación de outfits usando visión por computador

Application of the Metropolis–Hastings algorithm in 2D and 3D nano-materials with magnetic properties.

Black Holes and Gravitational Theories beyond General Relativity Research using Python

Classifying scientific papers using topic models with Python

Del POC a producción - Infraestructura para machine-learning en Mercadolibre

Extracción y análisis de información de accidentes de tránsito desde redes sociales

Fundamentals of Bayesian Analysis with PyMC3 and TensorFlow Probability

Get your hyperparameters right! How to tune your machine learning models with SciPy

Julia: a next generation language

Keynote: SciPy and NumFOCUS communities: past, present, and future

Learning to classify the heavens...and helping physics along the way

Máquinas de aprendizaje para análisis de datos geoespaciales en procesos de clasificación de cobertura terrestre

Maximizing Churn Campaign Profitability with Cost-Sensitive Machine Learning

Optimization-based design of wireless sensor networks for gas monitoring systems in underground mines

¿Qué tanto se mueven nuestros ríos?

Recommendations at Rappi

SpectralNET: redes neuronales e hidrocarburos

Testing in machine-learning based systems

Un modelo de posicionamiento previo de suministros de emergencia para respuesta a sismos en la ciudad de Bogotá utilizando Python

Visor Ambiental. Herramienta para integración de datos científicos en la intervención territorial sostenible.

Charlas relámpago 2019-10-08