Popular GitHub Repositories for Dask

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

A full pipeline AutoML tool for tabular data

Amazon SageMaker Local Mode Examples

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

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

Rapidsai_Machine_learnring_on_GPU

Workshop content for Designing Intelligent Edge Computing by NUS ISS

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

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

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

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

machine learning at scale on Azure Machine Learning

AutoML Library Based on Dask with Bee Colony Optimization