Search Results for "nothing"

Deep-Learning-Is-Nothing presents deep learning concepts in an approachable, from-scratch style that demystifies the stack behind modern models. It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks.

Agent Zero is not a predefined agentic framework. It is designed to be dynamic, organically growing, and learning as you use it. Agent Zero is fully transparent, readable, comprehensible, customizable and interactive. Agent Zero uses the computer as a tool to accomplish its (your) tasks. Agents can communicate with their superiors and subordinates, asking questions, giving instructions, and providing guidance. Instruct your agents in the system prompt on how to communicate effectively. The...

Crabtalk is a composable AI agent runtime designed to provide a minimal yet powerful foundation for building and orchestrating intelligent agents within a single lightweight binary. It is implemented in Rust and focuses on delivering high performance, reliability, and low overhead compared to more complex agent frameworks. The system is built around a small set of core primitives, including skills, memory, context isolation, and extensions, which together enable flexible and modular agent...

The open-source tool for building high-quality datasets and computer vision models. Nothing hinders the success of machine learning systems more than poor-quality data. And without the right tools, improving a model can be time-consuming and inefficient. FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively. Improving data quality and understanding your model’s failure modes are the most impactful ways to boost the performance of your model. ...

We humans are bound by intellectual abilities. All knowledge is far beyond power of any person. The only way to apply knowledge is to build machines able to present it human way but not limited by volume. Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity: * Observation; * Producing propositions based on knowledge; * Elimination of impossible propositions; * Selection and verification of the most appropriate...

...Features - Snipe messages - Snipe files - Sniped cache -Editable settings in config.yml -[prefix]help - help menu -[prefix]snipe - shows the latest snipe -[prefix]sniped [index] - shows a snipe in sniped cache - [prefix]snipelist [index | nothing] - shows interactive snipe list (Prev | Next | Hide | Remove) ---[Prev] - browse previous snipe --- [Next] - browse next snipe --- [Hide List] - hide embed --- [Remove Snipe] - remove from cache - [prefix]remove [index] - removes index from cache - [prefix]clear - clears cache - [prefix]version - check for newer versions

A simple experiment into machine learning using the psychological principles of operant conditioning, spontaneous recovery and extinction. The main idea is that the "pet" in question knows nothing and you must teach it what certain keystrokes mean.

lejON, the LeJOS Odometric Navigator is a project which extends the LeJOS-API for LEGO Mindstorms bots. It adds a Java-API to LeJOS in order to control two-wheeled drives only by using motors and rotation sensors -- and nothing else.