jessicareinaldo

Jessica Reinaldo's starred repositories

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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causalml

Uplift modeling and causal inference with machine learning algorithms

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crc_meta

Code and analysis results for the CRC shotgun meta-analysis

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Datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

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beautiful-jekyll

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

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pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

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pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

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tsdl

The Time Series Data Library (TSDL) was created by Rob Hyndman, Professor of Statistics at Monash University, Australia.

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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cifar-10-cnn

Play deep learning with CIFAR datasets

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lime

Lime: Explaining the predictions of any machine learning classifier

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DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

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TensorFlow-Tutorials-for-Time-Series

TensorFlow Tutorial for Time Series Prediction

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GRU-D

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

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GRU-D

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

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gluonts

Probabilistic time series modeling in Python

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skope-rules

machine learning with logical rules in Python

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RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

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CIFAR10-img-classification-tensorflow

image classification with CIFAR10 dataset w/ Tensorflow

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Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks

NIPS2018 paper

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sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

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BitCoin-Value-Predictor

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

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ijcnn19attacks

Adversarial Attacks on Deep Neural Networks for Time Series Classification

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MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

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Data-mining-python-script

It contain various script on web crawling/ data mining of social web(RSS,facebook,twitter,Linkedin)

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hacker-scripts

Based on a true story

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TimeSeriesCIn

Repositório com os códigos para a monitoria da disciplina de séries temporais da pós-graduação em inteligência computacional do centro de informática (CIn) - UFPE.

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GAIN

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

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ambient-gan

Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"

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