rafael-glima Goto Github PK

bcdl_seeedn

Bayesian Compressed Deep Learning for State Estimation in Electrical Energy Distribution Networks

bio-data-gradient-boosting

boosting-bbvi

credit-score-ml-case-study

Classifier models for predicting if customers will be able to honor their debts.

desync-mhp

# Learning Hawkes Processes Under Synchronization Noise

easytemporalpointprocess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

faster_rcnn

Faster R-CNN

fine-grained-renorm-hp

This repository contains the code used in the paper "Fine-Grained Ɛ-Margin Closed-Form Stabilization of Parametric Hawkes Processes". For using it, you can just install all the requirements and run the bash script "run.sh"

fru

gps

Guided Policy Search

hawkes-gd-renorm-bfgs

hawkes_gd

hawkes_gd_renorm

hawkesinf

hawkpr

isohp

mit-6.005-pset0

neural-hawkes-particle-smoothing

Source code of the neural Hawkes particle smoothing (ICML 2019)

neuralnetworkpointprocess

code for "Fully Neural Network based Model for General Temporal Point Processes"

pohang-earthquake-modeling-demo

poppy

A Point Process Toolbox Based on PyTorch

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

rafael-glima.github.io

spoon-knife

This repo is for demonstration purposes only.

tf_rmtpp

Recurrent Marked Temporal Point Processes

tick

Module for statistical learning, with a particular emphasis on time-dependent modelling

uncertainty-event-prediction

var-hawkes

Learning Hawkes Processes from a Handful of Events

wasserstein-learning-for-point-process

learning point processes by means of optimal transport and wasserstein distance

wavelet-based-denoising-matlab-code