Awesome List Updates on Apr 03, 2025

9 awesome lists updated today.

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1. Awesome Agriculture

Datasets

• PlantVillage - Dataset containing leaf images of healthy and diseased plants, covering 38 disease classes across 14 different crops.

• SoybeanYield (⭐150) - A multimodal agricultural dataset for soybean yield forecasting, integrating yield performance, management practices, weather data, and soil parameters.

2. Awesome Dos

Development tools

• Insight - Very small debugger for real-mode DOS programs with Borland's Turbo like UI. Features an i80486 disassembler, and i8086 assembler.

3. Awesome Elm

Static site generators / Outdated Boilerplates

• elm-starter (⭐86) - An experimental Elm-based bootstrapper that can also be plugged into already existing Elm applications.

4. Awesome Math

Tools

• Corca Editor

5. Awesome Marketing

SEO (Search Engine Optimization) / SEO Analytics

• OnRanko - Review Harness AI-driven agents to supercharge your SEO, boost rankings, and maximize visibility.

Social Media Marketing / Social Media Management

• ReplyZen - Review - AI tool that automates social media comment management for Facebook and Instagram, auto replying and moderating comments.

6. Awesome Machine Learning

Python / Data Analysis / Data Visualization

• Flama (⭐276) - Ignite your models into blazing-fast machine learning APIs with a modern framework.

7. Awesome Embedded Rust

Real-time / Real-time Operating System (RTOS)

• Ariel OS A modular operating system written in Rust, providing multicore preemptive scheduling and application portability on top of Embassy.

8. Awesome Agi Cocosci

Concepts / AI Concept Representation

• Semantic features of object concepts generated with GPT-3 - CogSci'22, 2022. [All Versions]. Semantic features have been playing a central role in investigating the nature of our conceptual representations. Yet the enormous time and effort required to empirically sample and norm features from human raters has restricted their use to a limited set of manually curated concepts. Given recent promising developments with transformer-based language models, here the authors asked whether it was possible to use such models to automatically generate meaningful lists of properties for arbitrary object concepts and whether these models would produce features similar to those found in humans. To this end, the authors probed a GPT-3 model to generate semantic features for 1,854 objects and compared automatically-generated features to existing human feature norms. GPT-3 generated many more features than humans, yet showed a similar distribution in the types of generated features. Generated feature norms rivaled human norms in predicting similarity, relatedness, and category membership, while variance partitioning demonstrated that these predictions were driven by similar variance in humans and GPT-3. Together, these results highlight the potential of large language models to capture important facets of human knowledge and yield a new approach for automatically generating interpretable feature sets, thus drastically expanding the potential use of semantic features in psychological and linguistic studies.

9. Awesome Angular

Form Controls / Google Developer Experts

• ngx-pwd (⭐1) - Password Strength Meter and Generator.

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