A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/网页爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Type-safe search params state manager for React frameworks - Like useState, but stored in the URL query string.
Map incoming controller parameters to named scopes in your resources
Machine Learning in R
rsatool can be used to calculate RSA and RSA-CRT parameters
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
Calibrate the extrinsic parameters between Livox LiDAR and camera
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
A simple to use, composable, command line parser for C++ 11 and beyond
iOS routing done right. Handles both URL recognition and controller displaying with parsed parameters. All in one line, controller stack preserved automatically!
🔻 Dropdown Menu for iOS with many customizable parameters to suit any needs
Naive-N0.5-Flash is an open-weight 309B MoE model with 15.5B active parameters, built for coding and AI R&D.
Easy parameters validation/casting with Ecto.Schema, akin to Rails' strong parameters.
Neovim plugin for dimming the highlights of unused functions, variables, parameters, and more
Elixir library that provides macros which allow you to encapsulate business logic and validate incoming parameters with predefined contract.
A library for performing and validating complex filters from a client (e.g. smart filters)
A Go port of the Java Streams API. Type-safe and functional Go Streams processing
Configure Python functions explicitly and safely
F# type providers to support statically typed access to input parameters and result set of sql statement in idiomatic F# way. Data modifications via statically typed tables.
Decorator which checks whether the function is called with the correct type of parameters.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Cleaner request parameters in Elixir web applications 🙌
Read SSM parameters from a .env file instead of AWS