A Neural Network Playground is a browser-based educational visualization created by Daniel Smilkov and Shan Carter for experimenting with a real neural network. Users adjust controls to explore how a network learns from data. The project is open sourced on GitHub under the Apache License so its features can be tailored to a topic or lesson.
MLPNeuralNet
MLPNeuralNet is a multilayer perceptron neural network library for iOS and Mac OS X. It predicts new examples through trained neural networks and is built on Apple's Accelerate Framework using vectored operations and hardware acceleration where available. It is designed to load and run models in forward propagation mode only, and supports classification, multi-class classification, and regression output.
Features
- multilayer perceptron neural network library for iOS and Mac OS X Source: github.com
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0A Neural Network Playground is a browser-based educational visualization created by Daniel Smilkov and Shan Carter for experimenting with a real neural network. Users adjust controls to explore how a network learns from data. The project is open sourced on GitHub under the Apache License so its features can be tailored to a topic or lesson.
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Emgu CV is a cross-platform .NET wrapper to the OpenCV image processing library, allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, and can run on Windows, Linux, Mac OS, iOS and Android. Releases are available on GitHub and NuGet.
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0KoNLPy (pronounced "ko en el PIE") is a Python package for natural language processing of the Korean language. It is open source software released under GPL v3 or above, and users are asked to acknowledge its use with a citation.
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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.
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0Heroes Wear Masks provides machine-learning models, research, training resources, or evaluation tools.
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0Dosu is knowledge infrastructure for engineering teams and the coding agents they work with. It keeps documentation, specifications and agent memory current with code changes, and connects to tools such as GitHub, GitLab, Slack, Notion and Confluence. A free plan covers public repositories with 200 credits per month; the Pro plan is listed at $16/month with 4,000 credits per month.
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