wgmueller1

google-research

Google Research

autogluon

Fast and Accurate ML in 3 Lines of Code

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

jraph

A Graph Neural Network Library in Jax

DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

pycox

Survival analysis with PyTorch

splunk-sdk-python

Splunk Software Development Kit for Python

bayesian_changepoint_detection

Methods to get the probability of a changepoint in a time series.

pytorch-softdtw-cuda

Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

dancenet

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

DynamicGEM

Mixture-Density-Networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Nash-Detect

Code for KDD 2020 paper Robust Spammer Detection by Nash Reinforcement Learning

sdtw_pytorch

Implementation of soft dynamic time warping in pytorch

eICU-GNN-LSTM

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

tNodeEmbed

tNodeEmbed

pytorch-mdn

Mixture Density Networks (MDN) implemented in PyTorch

Hidden-Markov-Models-pymc3

Implementation of Hidden Markov Models in pymc3

NetWalk

CollaborativeFilteringV3

TimeSVD++ model: Recommender system using Matrix Factorization techniques, while utilize temporal models to extend models accuracy.

F-FADE

CausalRanking

Code for paper "Ranking Causal Anomalies via Temporal and Dynamical Analysis on Vanishing Correlations. Wei Cheng, Kai Zhang, Haifeng Chen, Guofei Jiang, Zhengzhang Chen, Wei Wang. In Poceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(SIGKDD'16), 2016"

graphnets

Extending the Neural Graph Algorithm Executor

open_model_zoo

Open Model Zoo (pre-trained deep learning models and samples)

wm_paper

IPython notebooks and other code used in creating my paper on working memory.

intensity_estimation_bayes

This is a model for bayesian estimation of the intensity function of an inhomogeneous Poisson point process on the unit interval, built with PyMC3. For more information see the README.pdf.