AutoML algorithm tool chain by Huawei Noah's Arb Lab.
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Vast.ai provides machine-learning models, research, training resources, or evaluation tools.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
unpkg.ai provides machine-learning models, research, training resources, or evaluation tools.
Change just one letter and get github repo context to use as context for your LLM.
Discover datasets around the world!
Tribuo is a Java ML library for multi-class classification, regression, clustering, anomaly detection and multi-label classification.
Creates, rewrites or summarizes written content with language models.
Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
Creates, rewrites or summarizes written content with language models.
The Radical AI Podcast provides machine-learning models, research, training resources, or evaluation tools.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Generative AI will enrich investors and be deployed against everyone else.
And alternative suggestions for design research.
Creates, rewrites or summarizes written content with language models.
Creates, rewrites or summarizes written content with language models.
The Age of AI has begun Bill Gates provides machine-learning models, research, training resources, or evaluation tools.
Creates, rewrites or summarizes written content with language models.
Text preprocessing package for use in NLP tasks.
Hyperparameter Optimization for TensorFlow, Keras and PyTorch.
Get a daily podcast and newsletter, created for you by an AI.
A neuro-symbolic framework for building applications with LLMs at the core.
The SuperDataScience podcast with Jon Krohn airs the most important topics on machine learning, AI, and data careers. Unleash your data skills.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.