A collaboration platform where the machine learning community shares models, datasets and applications. It hosts public models, datasets and Spaces, and offers an open source stack including libraries such as Transformers, Datasets and Accelerate. It also provides paid Compute and Enterprise solutions, with an Inference Providers API giving access to models from multiple AI providers.
StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
I am trask is a machine learning craftsmanship blog. Posts listed include Decentralized AI in 50 Lines of Python, Is the Universe Random?, Safe Crime Detection, Deep Learning without Backpropagation and Building Safe A.I.
mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
Full Stack Deep Learning offers news, community, and courses for people building AI-powered products. It covers the lifecycle of an AI-powered product, from defining the problem and picking a GPU or foundation model to production deployment and continual learning.
Juno is an AI researcher that designs studies, interviews real people, and works through the evidence to report findings. It offers REST, MCP and A2A API access with self-service API keys scoped to one organisation. Pricing is $45 USD per completed interview, with study design free and no seats or subscription; recruitment and incentives are not included.
Nixified packages AI executable code as self-contained Nix packages, including dependencies, and builds each project from source. Users can install and run the code with a single nix command on Linux distributions and on Windows through WSL. The project lists textgen and InvokeAI as packaged projects and offers GPU support for NVIDIA and AMD.
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StepByStepML provides free online machine learning calculators that solve algorithms step-by-step for computer science exams. Users input a dataset and the site shows the full manual calculation for algorithms including K-Means, Minimax, KNN, A* Search, and evaluation metrics. Theory guides accompany the interactive solvers, and the site states it is built for CS students.
I am trask is a machine learning craftsmanship blog. Posts listed include Decentralized AI in 50 Lines of Python, Is the Universe Random?, Safe Crime Detection, Deep Learning without Backpropagation and Building Safe A.I.
mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
Full Stack Deep Learning offers news, community, and courses for people building AI-powered products. It covers the lifecycle of an AI-powered product, from defining the problem and picking a GPU or foundation model to production deployment and continual learning.
Juno is an AI researcher that designs studies, interviews real people, and works through the evidence to report findings. It offers REST, MCP and A2A API access with self-service API keys scoped to one organisation. Pricing is $45 USD per completed interview, with study design free and no seats or subscription; recruitment and incentives are not included.
Nixified packages AI executable code as self-contained Nix packages, including dependencies, and builds each project from source. Users can install and run the code with a single nix command on Linux distributions and on Windows through WSL. The project lists textgen and InvokeAI as packaged projects and offers GPU support for NVIDIA and AMD.
