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DiffusionKinetics open-source monorepo
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Data Science Toolkit
A monorepo of Haskell projects focused on data science and machine learning
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Similar projects
Found by comparing what the projects do, not just their names.
Diffusion toolkit
A toolkit for creating and manipulating state-of-the-art diffusion models in PyTorch
Diffusion guide
A compendium of resources and tools for exploring the capabilities and limitations of Stable Diffusion
dask/dask-ml907
Machine Learning Engine
A Python library for scalable machine learning using Dask alongside popular ML libraries
Data Science Toolkit
A collection of Go-based resources and tools for data science tasks
Categorical model extension
Extends generative flows and diffusion models to handle categorical data
Machine Learning Library
Implementations of basic machine learning algorithms in Haskell
Diffusion Model Library
A diffusion model library for generating images and videos using JTorch and Diffusers
nvlabs/edm1.4K
Generative model framework
This project provides a set of tools and techniques to design and improve diffusion-based generative models.
ML toolkit
Tools for building machine learning solutions on satellite imagery
Blockchain exporter
Tools for exporting blockchain data to analytical databases in Haskell.
Dataflow analysis library
A library that provides a modular and reusable framework for dataflow analysis and transformation in programming languages
tfausak/flow200
Code readability enhancer
A Haskell package providing alternative operators to improve code readability
Feature reuse accelerator
A novel paradigm to accelerate diffusion models by reusing and updating high-level features in a cheap way
Data Analysis Guide
An in-depth guide to data analysis using Haskell programming language
Model distiller
Automatically trains models from large foundation models to perform specific tasks with minimal human intervention.
