Open-source alternatives to Functional Javascript Workshop

Workshopper tutorial created for Melbourne CampJS 2014 covering three.js basics including lighting, basic shapes, mouse projections, collision detection and physics.

This is an Asciidoc book of Simon Wardley's "Wardley Maps". It simply takes all his medium posts and joins them together for ease of reading. The intention is to be entirely faithful to the original posts - I've not even fixed the few spelling mistakes - while allowing various output versions to…

State of the art resources for NLP sequence modeling tasks such as machine translation, image captioning, and dialog.

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Do you want to learn how to fuzz like a real expert, but don't know how to start?

This project provides educational materials and courseware focused on the theoretical and practical foundations of distributed systems design. It serves as a comprehensive curriculum covering the disciplines of consensus, data consistency, reliability engineering, and scalability. The instructional content focuses on achieving cluster agreement through consensus algorithms and managing system-wide state via coordination frameworks. It includes a dedicated guide to data theory, exploring replication strategies, consistency models, and data convergence. The courseware covers a broad capability

Curated list: Resources for machine learning in Ruby

This is a machine learning educational repository consisting of a collection of notebooks and code examples. It provides practical implementations of diverse machine learning algorithms and workflows, ranging from traditional scientific computing to deep learning. The project features specific implementations of Scikit-Learn models, such as decision trees, random forests, and support vector machines, as well as TensorFlow examples for building neural networks, convolutional layers, and recurrent architectures. It also includes tutorials on reinforcement learning development and the creation o

Online resource of a practical machine learning course in the Department of Materials at Imperial College London.

Podcast about Android Development with Hannes Dorfmann, Artem Zinnatullin, Artur Dryomov and wonderful guests!

A workshopper module for learning React, based on thinking in react.

This project is a collection of structured study notes and notebooks serving as an educational resource for deep learning and neural network fundamentals. It provides a technical reference for implementing machine learning theory, covering everything from basic network design to the construction of advanced architectures. The material specifically focuses on the implementation of convolutional neural networks for computer vision and sequence models for natural language processing. It includes detailed guidance on building object detection systems, face recognition, and speech transcription mo

A curated list of applied machine learning and data science notebooks and libraries across different industries.

This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that

Serverless Reference Architecture for creating an IoT Backend

expressworks

` ENDPOINT /search?q={query} GET https://kbbi-api-amm.herokuapp.com/search?q=apel `

llm-viz is a 3D architecture visualizer and inference simulator for large language models. It provides a visual representation of network topology and the mathematical operations used during the process of generating a response. The tool enables the exploration of internal weight distributions and the layout of layers within a neural network. It facilitates model interpretability and inference debugging by tracking the step-by-step movement of data through the architecture. The system utilizes GPU-accelerated 3D rendering to visualize tensor flow and spatial mappings of weights. It includes

A collection of important graph embedding, classification and representation learning papers with implementations.

A nodeschool workshop that gives some usage examples of bionode for bioinformatics

Bitcoin Programming with BitcoinJS, Bitcoin Core and LND

Mastering Bitcoin is a technical book that explains what Bitcoin is and how it works.

This project is a collection of programming language references and syntax cheat sheets designed for rapid developer onboarding. It serves as a library of code-based documentation that uses valid source code files to provide whirlwind tours of various language specifications. The project focuses on programming language learning by providing concise, commented code examples that explain core features and syntax in place. This approach enables developers to quickly grasp language-specific patterns, data types, and execution flow through a consistent reference format. The content covers a broad