Search Results for "balance"

Writer Framework is an open source platform designed to help developers build AI-powered applications by combining a visual interface builder with a Python-based backend architecture. It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. ...

Independent MIT-licensed server SDKs for the Fragment Donor public API in Python, TypeScript, PHP, .NET, Go, Rust and Ruby. The private production backend and its history are not part of this project. The SDKs cover username and Premium lookup, wallet balance, and intended Stars/Premium gifting through a form-urlencoded contract. Purchase calls are not retried automatically, and no idempotency guarantee is claimed. Mocked contract and package tests make no real purchases. English, Russian and Uzbek documentation is available from the canonical GitHub project. This is not an official Telegram, Fragment or TON product.

...Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving Average (sma) Moving Average Convergence Divergence (macd), Hull Exponential Moving Average (hma), Bollinger Bands (bbands), On-Balance Volume (obv), Aroon & Aroon Oscillator (aroon), Squeeze (squeeze) and many more.

The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction....