igabriel85

federated

A framework for implementing federated learning

DeepSphere

A graph-based spherical convolutional neural network (for cosmology)

DeepSphere-1

DeepSphere for Anomaly Detection

pysad

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

ade

ADE detects anomalous time slices and messages in Linux logs (either RFC3164 or RFC5424 format) using statistical learning.

chaosblade

An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

dataloader

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

deep-opt-auctions

Implementation of Optimal Auctions through Deep Learning

DeepLog

Pytorch Implementation of DeepLog.

DeepOD

Deep learning-based outlier/anomaly detection

EasyVVUQ

Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.

foss4g-2022-developing-custom-grass-tools

Developing custom GRASS tools (FOSS4G 2022 workshop)

Generative_Deep_Learning_2nd_Edition

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

graphite_exporter

Server that accepts metrics via the Graphite protocol and exports them as Prometheus metrics

hugin

maap-python3

Mava

A library of multi-agent reinforcement learning components and systems

mini-AlphaStar

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

NAB

The Numenta Anomaly Benchmark

PandemicSimulation

rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

salvaedor-dali

Generate classical paintings using Variational Autoencoders (VAEs).

scamp-ede-service

serrano-power

Repository for power consumption experiments

shap

A game theoretic approach to explain the output of any machine learning model.

spark-metrics

Spark metrics related custom classes and sinks (e.g. Prometheus)

talos

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

vagrant-spark2

Vagrant Box with Python 3.6.1, Apache Spark 2.1.1 with Scala 2.11.8 and PySpark (2.1.1).

wps-rest-binding