Awesome List Updates on Jun 12, 2025
4 awesome lists updated today.
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1. Awesome Executable Packing
📑 Datasets / Scientific Research
- Malicia - Dataset of 11,688 malicous PE files collected from 500 drive-by download servers over a period of 11 months in 2013 (DISCONTINUED).
2. Awesome Angular
Authentication / Google Developer Experts
- witspry-auth-ng-client (⭐1) - A comprehensive Angular library for OAuth2 authentication with PKCE (Proof Key for Code Exchange) support.
Calendars / Google Developer Experts
- daypilot-lite-angular - Angular version of JavaScript/HTML5 event calendar/scheduler components that can display day/week/month calendar views.
Icons / Google Developer Experts
- chill-wind-icons (⭐1) - Dynamic Angular icon library with native Tailwind CSS support, tree-shakeable icon data, and built from Iconoir SVGs.
3. Awesome Osint
Domain and IP Research / GitHub
- Hybrid Analysis - Online service for detailed and free analysis of suspicious files and URLs.
Image Analysis / GitHub
- EXIFEditor.io - In-browser EXIF image metadata editor, viewer, and analysis tool.
4. Awesome Agi Cocosci
Domain Specific Language / DSL Program Synthesis
- Synthesizing theories of human language with Bayesian program induction - Nature Communications, 2022. [All Versions]. Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. This work presents a framework for algorithmically synthesizing models of a basic part of human language: morpho-phonology, the system that builds word forms from sounds. The authors integrate Bayesian inference with program synthesis and representations inspired by linguistic theory and cognitive models of learning and discovery. Across 70 datasets from 58 diverse languages, the system synthesizes human-interpretable models for core aspects of each language’s morpho-phonology, sometimes approaching models posited by human linguists. Joint inference across all 70 data sets automatically synthesizes a meta-model encoding interpretable cross-language typological tendencies. Finally, the same algorithm captures few-shot learning dynamics, acquiring new morphophonological rules from just one or a few examples. These results suggest routes to more powerful machine-enabled discovery of interpretable models in linguistics and other scientific domains.
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