Search Results for "beat"

This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run. Usage and installation instructions for this extension are available from the Celery documentation. If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone. To create a periodic task executing at an interval...

flutter_easy_refresh is a refresh widget library for Flutter that supports pull-to-refresh and load-more gestures with highly customizable behavior. It provides multiple built-in refresh headers and footers, including classic, material, ball-beat, and custom animated styles. Developers can easily implement infinite scrolling, lazy loading, and paginated content with fine-grained control over triggers and states. The library emphasizes smooth, adaptive animations and compatibility with slivers, lists, and grids. Because it is extensible, users can design their own refresh indicators to match branding or app style. ...

...KrakenD also implements the Backend for Frontend and Micro-frontends patterns to eliminate the necessity of dealing with multiple REST services, isolating clients from the micro-service implementation details. KrakenD's stateless architecture and performance-first approach for every internal component beat any API Gateway in the market. Our customers with massive usage face the networking limits while KrakenD still keeps a low consumption of resources. But don't take our word for granted, do your own benchmarks. All KrakenD endpoint configuration is stored in a plain text .json configuration file. You can edit this file by hand or design your API interface visually using the KrakenDesigner.

...Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github, but none of them is able to beat a reasonable baseline on games such as Othello or Connect Four. As an illustration, the benchmark in the README of the most popular of them only features a random baseline, along with a greedy baseline that does not appear to be significantly stronger.

This is a research project to possible improve compression using LZ77, LZSS or bwt, bwt is used on the bzip2 compression library, the v28 from 04/dec/2022 is the first version to almost beat lzma, indeed it is a tweak of lzma, the decoder for v28 will follow in a few days Important: in 07/sept/2026 was added the C file lz77_enhanced_v2.c in the section Files, it have an enhanced lz77 implementation, it is better than standard lz77, it compress better, take a look

Edit, save, and refresh. Revel compiles your code and templates for you, so you don't miss a beat. Code doesn't compile? It gives you a helpful description. Run-time code panic? Revel has you covered. Revel provides routing, parameter parsing, validation, session/flash, templating, caching, job running, a testing framework, and even internationalization. Revel is built around composable middleware called filters, which implement nearly all request-processing functionality.

This is a recursive C++ source code of the Fast Fourier Transform algorithm allowing parallelization. Also a performance test and its results on my computer are provided. The Performance test suggest to use 4 threads for parallelization. With this one can beat the implementation in "Numerical Recipes in C++" for large signals with more than 2^16 / 2^17 / 2^18 samples depending on the hardware and software.

musicinformationretrieval.com is a collection of instructional materials for music information retrieval (MIR). These materials contain a mix of casual conversation, technical discussion, and Python code. These pages, including the one you're reading, are authored using Colab notebooks.

DataDraw is a feature rich database generator for high performance C applications. DataDraw gives your C application a high performance object-oriented framework at speeds that beat hand coded C.

This chess program changes its strength to give the best match against you. Eventually it learns to beat you specifically through learning alogirthms. Features included transposition tables and a elementary 3-piece endgame tablebase.