Skip to content
OSS for Founders
AI & ML

adithya-s-k/AI-Engineering.academy

Mastering Applied AI, One Concept at a Time

Stars
2.4k
Forks
287
Language
Jupyter Notebook
License
MIT
Last commit
updated Feb 2026
Slowing
fine-tuningfinetuningfinetuning-llmsinferencelarge-language-modelsllmpythonquantization

Straight from GitHub

Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.

Maintenance

Last push was 252 days before the stats read (as of Nov 6, 2026).

Licence

MIT

Tech stack

Primary language: Jupyter Notebook. GitHub reports only the dominant language, so this is not the whole stack.

Install

No install command has been verified for this repo. Follow the README rather than a guess.

Quality score

Computed by the discovery import when this entry was added.

0.76out of 1.00
Recent activity×0.30
0.40

How recently the default branch was pushed to.

Adoption×0.20
0.72

Stars on a log scale, so adoption counts without dominating.

Description and topics×0.15
1.00

Whether the repo describes itself: description, topics, homepage.

README present×0.15
1.00

Whether the repository has a README at all.

Licence clarity×0.10
1.00

Whether GitHub can resolve the licence to a recognised SPDX id.

Issue health×0.10
1.00

Open issues relative to adoption, as a rough maintenance signal.

Similar repos

Same category, ranked by shared topics.

  • Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

    75.9k starsPythonApache-2.0updated Nov 2026AI & ML
  • A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

    39.3k starsPythonApache-2.0updated Nov 2026AI & ML
  • Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

    26.9k starsPythonApache-2.0updated Nov 2026AI & ML
  • 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

    18.9k starsPythonApache-2.0updated Apr 2026AI & ML

Stats updated Nov 6, 2026. Stars, forks, issue counts, and dates are a snapshot read from the GitHub REST API, not a live figure. This site makes no requests to GitHub when you load a page.

Command Palette

Search for a command to run...