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ad_examples

A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.

algoprogrammingcontests2016

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

amundsenfrontendlibrary

Front-end service library for Amundsen

anf_trident_aks

Supporting resource for ANF, AKS, and Trident Blog Post

argoflow

Deploying Kubeflow with Argo CD

beam-flink-k8s

Minimal proof of concept running a python beam pipeline via flink deployed in k8s.

camelyon17

Camelyon17 (Breast Tumor Classification)

cataract_idp

Predicting tools in cataract surgery

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cost-model

Cross-cloud cost allocation models for workloads running on Kubernetes

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cyclops

comprehensive rating-charging and billing solution for cloud services

data-science--cheat-sheet

Cheat Sheets

deep-admm-net

deep-histopath

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

deeplearningcamelyon

DeepLearning - Camelyon16 dataset

digital-image-analysis-sulli

Tumor classification. TF Slim implementation of Camelyon 16 challenge (WIP)

distributed-data-mining-lab

docker-spark-cluster

A simple spark standalone cluster for your testing environment purposses

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

eks-kubeflow-workshop

Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other examples

elephas

Distributed Deep learning with Keras & Spark

example-seldon

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

examples

A repository to host extended examples and tutorials

fastspeech

The Implementation of FastSpeech based on pytorch.

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

fintech-mlops

MLOps: Fintech use-case

foodmingle

FoodMingle is an application that is meant for social networking over food.

helm-chart

Helm charts for Dask