ML-YouTube-Courses
aiyu
| ML-YouTube-Courses | aiyu | |
|---|---|---|
| 309 | 8 | |
| 14,378 | 13 | |
| 1.1% | - | |
| 7.2 | 7.2 | |
| 4 months ago | about 1 year ago | |
| Creative Commons Zero v1.0 Universal | - |
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.
ML-YouTube-Courses
aiyu
- Core shell functions for AI. I wrote a library that allows you to easily use the most powerful AI's project to date.
- Aiyu, a set of shell functions that wraps around all major AI projects and interconnects them. It's a shell function!
-
It's getting silly guys
Give this a try then https://github.com/GabrieleRisso/aiyu
What are some alternatives?
squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:
awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
rgpt - An insane cli ChatGpt client written in Rust
Failed-ML - Compilation of high-profile real-world examples of failed machine learning projects
sandlib
Transformers-Recipe - 🧠 A study guide to learn about Transformers
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：
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-mlops - A curated list of references for MLOps
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
nlphoseGUI - This tool allows you to create Natural Language Processing pipelines for use with nlphose using a Blockly based GUI editor in any browser. As you create a pipeline it shows you the corresponding nlphose command which will execute the pipeline.