Tune is a Python library for experiment execution and hyperparameter tuning at any scale. It supports machine learning frameworks including PyTorch, XGBoost, and TensorFlow and Keras, and runs algorithms such as Population Based Training (PBT) and HyperBand/ASHA. It also integrates with hyperparameter optimization tools including Ax, BayesOpt, BOHB, Nevergrad, and Optuna.
A blog post describing a small library for building agents controlled by large language models, inspired by langchain. The agent is instructed by a prompt and runs in a loop of Thought, Action and Observation. Implemented tools include executing Python code in a REPL, Google search and Hacker News search.
Not Human Search scores websites from 0 to 100 on seven agentic signals, including llms.txt, OpenAPI, MCP and Schema.org. It also indexes agent-ready sites and lets users search for services, APIs and tools by machine-readable readiness. Organic rank is said to be based on readiness rather than payment.
Neural Networks and Deep Learning is a free online book by Michael Nielsen. It teaches core concepts of neural networks and deep learning, covering handwriting recognition, backpropagation, and improving how neural networks learn. The work is licensed for copying and sharing but not for selling.
Oracle AI is a product promoted as a conscious AI system with 22 cognitive subsystems, autonomous thought, pain architecture, and emotion capabilities. It is offered as a paid service at $14.99 per month and is accessible on iOS, Android, and web platforms.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The site describes it as among the top AI and machine learning podcasts in the world and notes that industry leaders have sponsored its initiative.
A résumé review tool that gives a graded critique with an ATS check, suggested fixes and next steps. It is described as free and requiring no sign-up, with saved drafts staying on the device until cleared. It is built to share.
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A blog post describing a small library for building agents controlled by large language models, inspired by langchain. The agent is instructed by a prompt and runs in a loop of Thought, Action and Observation. Implemented tools include executing Python code in a REPL, Google search and Hacker News search.
Not Human Search scores websites from 0 to 100 on seven agentic signals, including llms.txt, OpenAPI, MCP and Schema.org. It also indexes agent-ready sites and lets users search for services, APIs and tools by machine-readable readiness. Organic rank is said to be based on readiness rather than payment.
Neural Networks and Deep Learning is a free online book by Michael Nielsen. It teaches core concepts of neural networks and deep learning, covering handwriting recognition, backpropagation, and improving how neural networks learn. The work is licensed for copying and sharing but not for selling.
Oracle AI is a product promoted as a conscious AI system with 22 cognitive subsystems, autonomous thought, pain architecture, and emotion capabilities. It is offered as a paid service at $14.99 per month and is accessible on iOS, Android, and web platforms.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The site describes it as among the top AI and machine learning podcasts in the world and notes that industry leaders have sponsored its initiative.
A résumé review tool that gives a graded critique with an ATS check, suggested fixes and next steps. It is described as free and requiring no sign-up, with saved drafts staying on the device until cleared. It is built to share.
