Posts
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copper-engine
COPPER - a high performance Java workflow engine
Run
./gradlew eclipseonce. This will create Eclipse project files which you can import. This also creates proper code style settings. Before committing you should always reformat the code. You can configure Eclipse to do this automatically on each save.Every time a dependency changes in
build.gradleyou must run./gradlew eclipseagain. You don’t need to restart Eclipse for this, simply press F5 on the projects.Tags: #java
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nodevectors
Fastest network node embeddings in the west
pip install nodevectorsThis package depends on the CSRGraphs package, which is automatically installed along it using pip. Most development happens there, so running
pip install --upgrade csrgraphonce in a while can update the underlying graph library.Tags: #python
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xai
XAI - An eXplainability toolbox for machine learning
XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.
You can find the documentation at https://ethicalml.github.io/xai/index.html. You can also check out our talk at Tensorflow London where the idea was first conceived - the talk also contains an insight on the definitions and principles in this library.
Tags: #python • explainability • xai
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pe_tree
Python module for viewing Portable Executable (PE) files in a tree-view using pefile and PyQt5. Can also be used with IDA Pro and Rekall to dump in-memory PE files and reconstruct imports.
PE Tree is a Python module for viewing Portable Executable (PE) files in a tree-view using pefile and PyQt5. It can also be used with IDA Pro, Ghidra, Volatility, Rekall and minidump to view and dump in-memory PE files, as well as perform import table reconstruction.
Tags: #python
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training
Reference implementations of MLPerf® training benchmarks
This is a repository of reference implementations for the MLPerf training benchmarks. These implementations are valid as starting points for benchmark implementations but are not fully optimized and are not intended to be used for “real” performance measurements of software frameworks or hardware.
Please see the MLPerf Training Benchmark paper for a detailed description of the motivation and guiding principles behind the benchmark suite. If you use any part of this benchmark (e.g., reference implementations, submissions, etc.) in academic work, please cite the following:
@misc{mattson2019mlperf, title={MLPerf Training Benchmark}, author={Peter Mattson and Christine Cheng and Cody Coleman and Greg Diamos and Paulius Micikevicius and David Patterson and Hanlin Tang and Gu-Yeon Wei and Peter Bailis and Victor Bittorf and David Brooks and Dehao Chen and Debojyoti Dutta and Udit Gupta and Kim Hazelwood and Andrew Hock and Xinyuan Huang and Atsushi Ike and Bill Jia and Daniel Kang and David Kanter and Naveen Kumar and Jeffery Liao and Guokai Ma and Deepak Narayanan and Tayo Oguntebi and Gennady Pekhimenko and Lillian Pentecost and Vijay Janapa Reddi and Taylor Robie and Tom St. John and Tsuguchika Tabaru and Carole-Jean Wu and Lingjie Xu and Masafumi Yamazaki and Cliff Young and Matei Zaharia}, year={2019}, eprint={1910.01500}, archivePrefix={arXiv}, primaryClass={cs.LG} }These reference implementations are still very much “alpha” or “beta” quality. They could be improved in many ways. Please file issues or pull requests to help us improve quality.
Tags: #python • benchmark • machine-learning
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figma-to-react-native
Figma → React Native
✨ Real-time code and preview rendering 📦 Batch exporting of components and assets 🎨 Theme generation from local styles and variables 🏞 Images, vectors, and icons support 🎲 Variants and properties support 🧱 Nested components support 🧩 Figma variables support 🎮 Pressables generation 🎭 Conditional rendering 📚 Storybook syncing 📖 JSDoc generation 💡 Dark/light mode Tags: #typescript • react-native • design-to-code
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laraflash
⚡ Flash messages on steroids.
You can install this package via composer using this command:
composer require coderello/laraflashAfter that you need to register the
\Coderello\Laraflash\Middleware\HandleLaraflash::classmiddleware after the\Illuminate\Session\Middleware\StartSession::classone in theapp\Http\Kernel.phpYou can publish the config file with:
php artisan vendor:publish --tag="laraflash-config"Tags: #php • laraflash • laravel
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geared_pagination
Paginate Active Record sets at variable speeds
Most pagination schemes use a fixed page size. Page 1 returns as many elements as page 2. But that’s frequently not the most sensible way to page through a large recordset when you care about serving the initial request as quickly as possible. This is particularly the case when using the pagination scheme in combination with an infinite scrolling UI.
Geared Pagination allows you to define different ratios. By default, we will return 15 elements on page 1, 30 on page 2, 50 on page 3, and 100 from page 4 and forward. This has proven to be a very sensible set of ratios for much of the Basecamp UIs. But you can of course tweak the ratios, use fewer, or even none at all, if a certain page calls for a fixed-rate scheme.
On JSON actions that set a page, we’ll also automatically set Link and X-Total-Count headers for APIs to be able to page through a recordset.
Tags: #ruby
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xmlseclibs
A PHP library for XML Security
xmlseclibs is a library written in PHP for working with XML Encryption and Signatures.
The author of xmlseclibs is Rob Richards.
Tags: #php
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Downloader
A cost-effective Android file downloader
Downloader 是一个非常轻巧以及功能强大快速下载库，只有50KB 左右大小，对于大多数应用来说，性价比最高的一个下载库， Downloader 提供的API更简单、轻量且Downloader提供同步下载，系统通知进度等功能。
Tags: #java • download • filedownload
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