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dl_book

legend

double_event_dataset

energy_forecasting

eqstochsim

A library to explore the stochastic method following Boore (2003).

evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

fuse_codebase

gain_fork

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

gan-rnn_timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

gp4sme

Gaussian process on analysing the borrowing history of a small business

informedpriordist

Codes for KTP_Croud assessment tasks.

intervals

A library for interval computing in Python.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ktnsrm

Spectral models and Spectral Representation Method

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pyipm

A python port of the OpenCossan Interval Predictor Model toolbox

smelt

Test VLACHOS model

stead

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

stoexsim

Stochastic ground motion simulations with variability in model parameters

stospecrep

Spectral representation for stochastic processes

virtualraphael

Human error classificator based on MATA-D and Machine Learning algorithm