Awesome List Updates on Oct 31, 2023

19 awesome lists updated today.

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1. Ai Collective Tools

Design Generator

• Book Witch - Use the power of AI to create complete e-books with just one click! #freemium

Fitness

• Alpa AI - To train the right way without depending on anyone but their self-anytime, everywhere. #freemium

Image Generator

• AI Passport Photo - Take A Photo with Your Mobile Phone and Get Your Passport Photo in Seconds. freemium

2. Awesome Agi Cocosci

Science Logology / AI Assisted Research

• Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence - Nature Communications, 2021. [All Versions].

3. Awesome Rust

Applications

• WinterJS (⭐3k) - A secure JavaScript runtime built with SpiderMonkey and Axum

4. Awesome Generative Deep Art

Ethics, Philosophical questions and Discussions about Generative AI

• Can Computers Create Art? by Aaron Hertzmann: 2018's essay published on the Arts Journal

Multimodal Embedding Space / Deforum

• RedPajama-Data-v2 by Together AI: an open dataset with 30 trillion tokens for training Large Language Models

5. Awesome Tailwindcss

Plugins

• 🧬 Htmx (⭐18) - Adds variants for styling on htmx events.

6. Awesome Typescript

Tools / Playground

• OXC (⭐10k) - A suite of high-performance tools for JavaScript and TypeScript written in Rust

7. Awesome Cryptography

Rust / Git

• botan-rs (⭐29) - Botan bindings for Rust.

8. Awesome Opentofu

Tools / CI

• setup-opentofu (⭐81) - Set up OpenTofu CLI in your GitHub Actions workflow.

9. Awesome Langchain

Other LLM Frameworks / Videos Playlists

• Agentlabs (⭐420): Universal AI Agent Frontend. Build your backend we handle the rest.

• axflow (⭐1.1k): The TypeScript framework for AI development

• bondai (⭐183): AI-powered assistant with a lightweight, versatile API for seamless integration into your own applications

• Chidori (⭐1.2k): A reactive runtime for building durable AI agents

• Langroid (⭐2.2k): an intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications.

• Langstream (⭐407): Build robust LLM applications with true composability 🔗

10. Awesome Ruby

IRB

• KatakataIrb (⭐94) - IRB with Kata(型 Type) completion.

Natural Language Processing

• ruby-spellchecker - English spelling and grammar checker that can be used for autocorrection.

11. Awesome Go

Security

• beelzebub (⭐640) - A secure low code honeypot framework, leveraging AI for System Virtualization.

12. Awesome Nodejs

Package Manager / Miscellaneous

• bun - All-in-one toolkit for JavaScript and TypeScript apps.

13. Awesome Board Games

Party

The Gilded Realms

The Gilded Realms is a euro-style kingdom builder board game set in a medieval fantasy world, where players will be tasked with ruling over their young but ambitious kingdoms. In this hybrid simultaneous turn-based game of economic management and risk assessment, you and up to three other players will command a unique Faction and compete for the title of ultimate regent.Through careful planning of two builds a turn and management of your resources you must develop your five provinces and construct a thriving income, all the while, fending off competing kingdoms and the invading Sarrukar forces with your armies and fortifications. Players can also earn Gold and Gems from successful caravan trading and management of their kingdom’s stance during economic events. Or they can send armies into other player’s Hinterlands to raid their Caravans and take Endeavour cards for themselves! At the end of the 12th round of play, players earn prestigious titles based on their Victory Points, the highest earning the Serpens Champion and declared winner of The Gilded Realms!

Saboteur

With the help of Dwarf Cards, the players are assigned their role: either miner or saboteur. The roles are kept secret until the end of the round. As miners, they are hunting for gold. The miners are trying to build an uninterrupted path from the Start Card to a Goal Card, while the saboteurs are trying to prevent this. They shouldn't try to be too obvious about it, however, lest they be immediately discovered.

The Start Card and the three Goal Cards are placed face-down onto the table, each seven cards away from the start and one card between each Goal Card. The gold is on one of the Goal Cards, but nobody knows which. Players have cards in hand. On a player's turn, they must do one of three things: place a Path Card into the mine, play an Action Card in front of a player, or pass. Action Cards can be placed in front of any player, including oneself.

Action Cards let the players help or hinder one another, as well as obtain information about the Goal Cards. Once a player places a Path Card that reaches the gold, the round is over. The miners have won and would receive cards with gold pieces as their reward. The round is also over if the gold could not be reached. In that case, the saboteurs have won and would receive the gold pieces.

After three rounds, the player with the most gold is the winner.

14. Urban and Regional Planning Resources

Planning Coding Resources / Python

• Dash - Dash is an open source python library for building interactive data visualizations on the web. It enables you to build custom data dashboards using pure Python.

15. Awesome Ironsworn

Hacks and homebrew / Ironsworn

• Shadowsworn: Haunts - Frameworks for modern horror games

16. Awesome Directus

Extensions / Extension Scripts

• Directus Hook Library (⭐15) - A collection of customizable hooks for Directus.

17. Static Analysis

Programming Languages / Other

• Error Prone — Catch common Java mistakes as compile-time errors.

18. Awesome Machine Learning

C++ / General-Purpose Machine Learning

• XAD (⭐229) - Comprehensive backpropagation tool for C++.

Python / Computer Vision

• TF-GAN (⭐927) - TF-GAN is a lightweight library for training and evaluating Generative Adversarial Networks (GANs).

• segmentation_models.pytorch (⭐9.3k) - A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.

• segmentation_models (⭐4.7k) - A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images.

Python / Reinforcement Learning

• Gymnasium (⭐6.5k) - A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym (⭐34k)).

19. Awesome Datascience

Comparison / Unsupervised Learning

• Dimension Reduction
  • Principal Component Analysis (PCA)
  • t-SNE; t-distributed Stochastic Neighbor Embedding
  • Factor Analysis
  • Latent Dirichlet Allocation (LDA)

Comparison / Data Mining Algorithms

• C4.5

• k-Means

• SVM (Support Vector Machine)

• Apriori

• EM (Expectation-Maximization)

• PageRank

• AdaBoost

• KNN (K-Nearest Neighbors)

• Naive Bayes

• CART (Classification and Regression Trees)

• Prev: Nov 01, 2023
• Next: Oct 30, 2023