20 open-source projects similar to openml/openml, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.
We use docusaurus to power docs.getdbt.com.
After cloning this project, install lam-crystal-philately with common dependencies (including requirements for workflows) by ` pip install . To install additional dependencies for DP pip install ".dp" or mace pip install ".mace" `
license-image:https://img.shields.io/badge/license-GPL3.0-green.svg license-url:https://github.com/divelab/AIRS/blob/main/LICENSE contributing-image:https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat
A collection of Neural Network Models for chemistry - Quantum Chemistry Method - Force Field Method - Kernel Methods - Not based on Graph Models - Graph Domain Models - Transformer Domain Models - Universal models - Empirical force field - Semi-Empirical Method - Coarse-Grained Method - Enhanced…
Easy Model Publishing: Publish pre-trained AI/ML models from a notebook with just a few commands - Reproducible Environments: Use containers to ensure consistent execution across different systems - Remote Execution: Run your models (or others) remotely on HPC resources seamlessly - Discoverable…
The GT4SD (Generative Toolkit for Scientific Discovery) is an open-source platform to accelerate hypothesis generation in the scientific discovery process. It provides a library for making state-of-the-art generative AI models easier to use.
This is the GitHub repository for the Julia programming language project's main website, julialang.org. The repository for the source code of the language itself can be found at github.com/JuliaLang/julia.
This project serves as a comprehensive, community-driven directory of high-quality open-source Python libraries and tools for machine learning, data science, and artificial intelligence. It functions as a centralized resource for developers to discover, evaluate, and track the maintenance status of software packages across the entire machine learning ecosystem. The platform distinguishes itself through automated popularity tracking and data-driven content curation, which programmatically validate and rank projects based on community activity and development velocity. By organizing these tools
links to conference publications in graph-based deep learning
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
OpenTelemetry community content
This collection includes the list of online and offline resources of physical, chemical, mechanical and all other properties of materials.
The novel discipline of materials informatics is a junction of materials, computer, and data sciences. It aims to unite the nowadays competing physics- and data-intensive efforts for the most impactful applied science, that transformed our society in the 20th century.
An awesome list of references for MLOps - Machine Learning Operations :pointright: ml-ops.org*