by mikeroyal · Agent Tool · ★ 691
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
| Stars | 691 |
| Forks | 62 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 36.65/100 |
| Open Issues | 1 |
| Last Updated | 2024-01-04 |
| Created | 2020-10-17 |
| Platforms | aws, python |
| Est. Tokens | ~71k |
These tools work well together with Machine-Learning-Guide for enhanced workflows:
Looking for a Machine-Learning-Guide alternative? If you're comparing Machine-Learning-Guide with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
🚀 200倍速!AI时代的下载神器 | Docker/PyPI/HuggingFace/CRAN 全加速 | 并行分片+智能缓存,让下载飞起来
The fastest way to build and start training your own LLM. CLI tool that scaffolds production-ready PyTorch tra
A curated list of Generative AI tools, works, models, and references
Explore other popular agent tool tools:
Machine-Learning-Guide is Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.. It is categorized as a Agent Tool with 691 GitHub stars.
Machine-Learning-Guide is primarily written in Python. It covers topics such as artificial-neural-networks, aws-sagemaker, deep-learning.
You can find installation instructions and usage details in the Machine-Learning-Guide GitHub repository at github.com/mikeroyal/Machine-Learning-Guide. The project has 691 stars and 62 forks, indicating an active community.
The top alternatives to Machine-Learning-Guide on Agent Skills Hub include prompttools, awesome-llm-powered-agent, DemoGPT. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.