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1,849–1,872 of 2,439 · Most stars

Latte Dock NG is a Wayland-first dock for KDE Plasma 6.5+ that provides an elegant and intuitive experience for your tasks and widgets. It animates its contents using a parabolic zoom effect and stays out of the way when not needed.

Search the web and primary sources, read full pages, and check every citation. MCP server for Claude, Cursor, Codex and more. Runs on your machine.

Turms is a pure python implementation of the awesome graphql-codegen library, following a simliar extensible design.

Grok WebGL2 and GLSL through a sequence of guided tutorials, each chunked into atomic Q&A cards suitable for spaced repetition, with hands-on projects and solution code integrated throughout.

🏦 I built this site to integrate with Up bank (an Australian digital bank), to assist users with budgeting and to gain powerful future insights.

With a subtle glass-like blur that melts into the background, Ayaka highlights your workspace without overwhelming it. Vibrant accents breathe life into the dark base, striking a perfect balance of minimalism and color.

TxQuery component is a TDataSet descendant component that can be used to query one or more TDataSet descendant components using SQL statements. It is implemented in Delphi 100% source code, no DLL required, because it implements its own SQL syntax parser and SQL engine.

Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.

Elixir implementation of the Git object storage, but with the goal to implement the same semantic with other storage and topics

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.