125 Open source projects that are alternatives of or similar to daskperiment

🎛 Distributed machine learning made simple.

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Parallel computing with task scheduling

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

This Snakemake pipeline implements the GATK best-practices workflow

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Python client for using Prefect Cloud with Saturn Cloud

Pythonic functions for creating and enhancing Hydra applications

Tool for encapsulating, running, and reproducing data science projects

SQL on dataframes - pandas and dask

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Automation and Make

⚡️ An efficient cache for the execution of dask graphs.

Machine Learning Operator & Controller for Kubernetes

⛔ ARCHIVED ⛔

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

STUMPY is a powerful and scalable Python library for modern time series analysis

declarative and reproducible Jupyter environments - powered by Nix

Distributed Xarray with Apache Beam

Container-native task automation engine.

Deprecated, please use https://github.com/jcrist/skein or https://github.com/dask/dask-yarn instead

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

Notebooks that support blog posts and tech talks on Dask / Coiled.

An R package to enable reproducible data processing, packaging and sharing.

Read and write rasters in parallel using Rasterio and Dask

MadPy Dask talk materials

Lightweight, Python library for fast and reproducible experimentation 🔬

Short course on the targets R package

A library for managing, validating, summarizing, and visualizing data.

🪴 Nebari - your open source data science platform

Earth System Model Lab (esmlab). ⚠️⚠️ ESMLab functionality has been moved into <https://github.com/NCAR/geocat-comp>. ⚠️⚠️

creating optimal conditions for reproducibility

Native Dask collection for awkward arrays, and the library to use it.

🔨 Gitian Building made simpler on any Windows Debian/Ubuntu MacOS with Vagrant, lxc, and virtualbox

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

N-D labeled arrays and datasets in Python

Scalable machine 🤖 learning for time series forecasting.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Radio Astronomy Algorithms Library

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Create highly reproducible python environments

Distributed SQL Engine in Python using Dask

Accelerated deep learning R&D

Start a cluster in EC2 for dask.distributed

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

A full pipeline AutoML tool for tabular data

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Deploy a BinderHub from scratch on Microsoft Azure

Tools for computation on batch systems

Fast & furious GroupBy operations for dask.array

Deep Reinforcement Learning (DRL) agents applied to medical images

Code related to Neuroimaging Analysis Replication and Prediction Study

Gaia is a geospatial analysis library jointly developed by Kitware and Epidemico.

Data Analysis Workflows & Reproducibility Learning Resources

A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

Coding Standards for the USC Biostats group

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

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