Popular GitHub Repositories for Dask

Distributed XGBoost on Ray

Evaluation Tool for Anomaly Detection Algorithms on Time Series

Machine learning operator & controller for Kubernetes

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

? Distributed machine learning made simple.

A use case of a reproducible machine learning pipeline using Dask, DVC, and MLflow.

A scalable, declarative, low-code framework for real-time and batch feature calculation/management (quant finance, anomaly/fraud detection, etc.), predictive ML training/inference and simulation. Built on top of Ray

Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system

Rapidsai_Machine_learnring_on_GPU

Python library to process and classify remote sensing imagery by means of GPUs and ML.

Workshop content for Designing Intelligent Edge Computing by NUS ISS

Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/

Time series forecasting on Citi Bike daily demand using an additive regression model (Facebook Prophet) and a convolutional neural network (WaveNet)

Dask tutorials for Big Data Analysis and Machine Learning as Jupyter notebooks

machine learning at scale on Azure Machine Learning

A Dask native implementation of 'Term Frequency Inverse Document Frequency' for dask-ml and scikit-learn

TechCon Experimentation with MLFlow and Dask