Awesome List Updates on Feb 22, 2025
9 awesome lists updated today.
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1. Awesome Love2d
Distribution
- LÖVE Game Development & Automated Build System (⭐115) - Preconfigured VSCode/Codium. Build for Android, iOS, HTML5, Linux, macOS and Windows and automatically publish to Itch.io.
2. Awesome European Tech
Index / Cybersecurity
- ALTCHA 🇨🇿 - Captcha and spam protection.
Index / Marketing Tools
- GetResponse 🇵🇱 - Email marketing software.
- RenderForm 🇵🇱 - Image generation and automation tool.
Index / Translation services
- SimpleLocalize 🇵🇱 - Translation management for software projects.
Index / VPS
- Krystal 🇬🇧
Index / Web Analytics
- Plausible 🇪🇪 - Open-source Google Analytics alternative.
3. Awesome Appsec
Books
Security Engineering - Third Edition (2020)
Released: November 1, 2020
Websites
SecDim
SecDim is an appsec edutainment platform, Learn appsec with free git based labs. Think you got what it takes to build a secure app? Challenge yourself with appsec games! Fix bugs, get a score and your name on the leaderboards.
4. Awesome Cpp
Artificial Intelligence
- Txeo (⭐50) - A modern C++ wrapper for TensorFlow. [Apache]
5. Awesome Micropython
Motion / Waveform Generator
- MicroPython Motor Kit (⭐3) - General motor control libraries.
6. Awesome Fiber
🛠️ Tools / 🌱 Third Party
- Alibaba/opentelemetry-go-auto-instrumentation (⭐619) - A tool to monitor fiber application without changing any code with OpenTelemetry APIs.
7. Awesome Linguistics
Platforms and toolkits
- tyo (⭐0) - A utility for finding Typo-Bridges.
8. Awesome Agi Cocosci
Bayesian Modeling / Bayesian Optimization
- Practical Bayesian Optimization of Machine Learning Algorithms - NeurIPS'12, 2012. [All Versions]. The use of machine learning algorithms frequently involves careful tuning of learning parameters and model hyperparameters. Unfortunately, this tuning is often a “black art” requiring expert experience, rules of thumb, or sometimes brute-force search. There is therefore great appeal for automatic approaches that can optimize the performance of any given learning algorithm to the problem at hand. This work considers this problem through the framework of Bayesian optimization, in which a learning algorithm’s generalization performance is modeled as a sample from a Gaussian process (GP). The authors show that certain choices for the nature of the GP, such as the type of kernel and the treatment of its hyperparameters, can play a crucial role in obtaining a good optimizer that can achieve expert-level performance. The authors describe new algorithms that take into account the variable cost (duration) of learning algorithm experiments and that can leverage the presence of multiple cores for parallel experimentation. These proposed algorithms improve on previous automatic procedures and can reach or surpass human expert-level optimization for many algorithms including Latent Dirichlet Allocation, Structured SVMs and convolutional neural networks.
9. Awesome Angular
Online Training / Google Developer Experts
- learnbydo.ing - Learn {Web} programming with Courses, Books & Exercises from Fabio Biondi. Content either in Italian or English.
- Design Shift - Generate Angular components you want from Uizard layouts.
HTTP / Google Developer Experts
- ngx-http-helper (⭐1) - A lightweight library to easily call your APIs and add JWT token or API key on each header request.
Integrations / Google Developer Experts
- ngx-pocketbase (⭐3) - PocketBase Angular SDK for interacting with the PocketBase API. Based on the PocketBase JavaScript SDK (⭐2.5k).
Editor Components / Google Developer Experts
- ngx-editorjs2 (⭐2) - A highly extensible block-style editor inspired by Editor.js. It allows users to create and manage rich text content using a variety of customizable blocks while leveraging Angular's reactive capabilities. https://github.com/Ba5ik7/ngx-editor-js2-blocks (⭐2) contain custom blocks that extend the editor with additional content types.
Unspecified / Google Developer Experts
- bryntum - World class web components for calendars, gantt charts, kanban boards, and scheduling.
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