jdariasl Goto Github PK

20191.dl

20191.dl.pre

Deep Learning Course

2020.deeplearning

angular.js

HTML enhanced for web apps

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

bi-lstm-crf-ner-tf2.0

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

contextualbo

Implementation of basic contextual BO using LogEI

covid-net

COVID-Net Open Source Initiative

covid_bayesiannet

covid_bayesiannet_da

covidnet

covnet

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

ddpproject

Assignment Developing Data Products Coursera's course

ddpslidify

Basic Slidify Project

denoising-diffusion-model

A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

diplomadoepm_2019

Notebooks de jupyter con el material para las diferentes sesiones del Diplomado en Analíticas de Datos y Machine Learning en Python

doubly-stochastic-dgp

Deep Gaussian Processes with Doubly Stochastic Variational Inference

dslidifyp

eacd-04-machine-learning-1

Aprendizaje Automático I

frp

A Matlab implementation of Fuzzy Recurrence Plots

global_multilabel_confusion_matrix

gmi

Gaussian Mixture Imputation

gmr

Gaussian Mixture Regression

gpy

Gaussian processes framework in python

jdariasl.github.io

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

me

Markov Entropies

ml_2020

The new version of my Machine Learning Introductory Course.

ml_extramaterial

ml_introductorycourse

IPython Notebboks of my introductory course on Machine Learning

morbo

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces