🔭 The Einstein AI model provides machine-learning models, research, training resources, or evaluation tools.
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Math Resources is a public Google document or spreadsheet containing organized links, notes, data, or resources.
AppleGamingWiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
FOSS Software Packages provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
r/SelfHosted Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
ACE-Step 1.5 supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Machine learning package built for humans.
Live countdowns for global AI conferences & exhibitions in Machine Learning, Computer Vision, Robotics & NLP.
AI Jukebox supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A Java Toolbox for Scalable Probabilistic Machine Learning.
Understand how large language models work under the hood.
Arch Security Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Arch Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Arch Wiki provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
ArchWiki App Sites provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Machine Learning and Data Mining for Astronomy.
Bash learning resource covering shell scripting, command syntax, and terminal concepts.
Deploys machine learning projects developed in Python, to Kubernetes.
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Comfy.Guide provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
CoolerControl provides Linux, macOS, BSD, or Unix documentation, tutorials, manuals, and learning guides.
Deploy, manage, and scale machine learning models in production.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].