aiyu vs sandlib

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aiyu		sandlib
	Project
8	Mentions	-
13	Stars	-
-	Growth	-
7.2	Activity	-
about 1 year ago	Latest Commit	-
	Language
-	License	BSD 3-clause "New" or "Revised" License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

aiyu

Posts with mentions or reviews of aiyu. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-26.

Core shell functions for AI. I wrote a library that allows you to easily use the most powerful AI's project to date.
1 project | /r/bash | 1 Apr 2023

1 project | /r/commandline | 1 Apr 2023

1 project | /r/archlinux | 1 Apr 2023

1 project | /r/Cyberpunk | 1 Apr 2023
Aiyu, a set of shell functions that wraps around all major AI projects and interconnects them. It's a shell function!
1 project | /r/Cyberpunk | 30 Mar 2023

1 project | /r/commandline | 30 Mar 2023

1 project | /r/bash | 30 Mar 2023
It's getting silly guys
2 projects | /r/commandline | 26 Mar 2023

Give this a try then https://github.com/GabrieleRisso/aiyu

sandlib

Posts with mentions or reviews of sandlib. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning sandlib yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing aiyu and sandlib you can also consider the following projects:

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.

best_AI_papers_2021 - A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

rgpt - An insane cli ChatGpt client written in Rust

GoAIRatings - Estimate Go AI ratings by real games

gold-miner - 🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

heukarya - genetic programming in haskell

awesome-mlops - A curated list of references for MLOps

hnn - haskell neural network library

moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.

HSGEP - Haskell Gene Expression Programming Library