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Data Science Toolkit

A monorepo of Haskell projects focused on data science and machine learning

DiffusionKinetics open-source monorepo

116 stars

17 watching

24 forks

Language: Haskell

last commit: over 3 years ago

data-sciencehaskell

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Repository	Description	Stars
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maks-s/sd-akashic	A compendium of resources and tools for exploring the capabilities and limitations of Stable Diffusion	1,638
dask/dask-ml	A Python library for scalable machine learning using Dask alongside popular ML libraries	907
gopherdata/resources	A collection of Go-based resources and tools for data science tasks	879
ehoogeboom/multinomial_diffusion	Extends generative flows and diffusion models to handle categorical data	207
ajtulloch/haskell-ml	Implementations of basic machine learning algorithms in Haskell	57
jittorrepos/jdiffusion	A diffusion model library for generating images and videos using JTorch and Diffusers	243
nvlabs/edm	This project provides a set of tools and techniques to design and improve diffusion-based generative models.	1,447
digitalglobe/mltools	Tools for building machine learning solutions on satellite imagery	81
coinmetrics/haskell-tools	Tools for exporting blockchain data to analytical databases in Haskell.	58
haskell/hoopl	A library that provides a modular and reusable framework for dataflow analysis and transformation in programming languages	73
tfausak/flow	A Haskell package providing alternative operators to improve code readability	200
horseee/deepcache	A novel paradigm to accelerate diffusion models by reusing and updating high-level features in a cheap way	818
binroot/haskell-data-analysis-cookbook	An in-depth guide to data analysis using Haskell programming language	653
autodistill/autodistill	Automatically trains models from large foundation models to perform specific tasks with minimal human intervention.	2,022