Goldmine for AI Engineers! 📌
If you're learning AI, ML, LLMs, or AI agents, don't waste hours jumping between random tutorials.
These are 10 repositories I'd actually keep bookmarked - from Python fundamentals to ML, LLMs, agents, and production AI.
1. Python - 100 Days
jackfrued/Python-100-Days
A 100-day Python learning path covering fundamentals, data analysis, web development, and more.
GitHub:
https://t.co/sw1ujP1Wnp
2. Generative AI for Beginners
microsoft/generative-ai-for-beginners
A practical introduction to building Generative AI applications.
Covers:
• LLM fundamentals
• Prompt engineering
• RAG
• AI agents
• Fine-tuning
• AI application development
GitHub:
https://t.co/xR9iu9EtzU
3. LLMs From Scratch
rasbt/LLMs-from-scratch
Want to understand what's actually happening inside an LLM?
Build one step by step.
Covers:
• Tokenization
• Embeddings
• Attention
• Transformers
• Training
• Fine-tuning
GitHub:
https://t.co/XIZYVfPosz
4. Machine Learning for Beginners
microsoft/ML-For-Beginners
A structured 12-week, 26-lesson curriculum covering classical machine learning.
A good starting point if you want ML fundamentals before jumping into LLMs.
GitHub:
https://t.co/4f85TPlIgv
5. OpenAI Cookbook
openai/openai-cookbook
A collection of practical examples and guides for building applications with OpenAI models.
Useful when you want to move from:
Learning → Building
GitHub:
https://t.co/qQTT34a36j
6. Stable Diffusion
CompVis/stable-diffusion
Interested in generative image models?
This repository contains the original Stable Diffusion implementation and research code.
GitHub:
https://t.co/yy9iV7AMNd
7. AI Agents for Beginners
microsoft/ai-agents-for-beginners
A practical course for understanding and building AI agents.
Covers:
• Agentic AI
• RAG
• Agent frameworks
• Tool use
• Multi-agent systems
GitHub:
https://t.co/kkXpu3tkW7
8. AI for Beginners
microsoft/AI-For-Beginners
A structured 12-week, 24-lesson introduction to AI.
Covers:
• Neural networks
• Computer vision
• NLP
• Deep learning
• Classical AI
GitHub:
https://t.co/uZqsZ77IyP
9. LLM App
pathwaycom/llm-app
Focused on building practical LLM applications.
Explore:
• RAG
• AI pipelines
• Enterprise search
• Real-time data
• Vector search
GitHub:
https://t.co/dKa96swuWu
10. Segment Anything
facebookresearch/segment-anything
A foundation model for promptable image segmentation.
Worth exploring if you're interested in computer vision and multimodal AI.
GitHub:
https://t.co/A22w8WrhZv
Don't bookmark all 10 and forget about them.
Pick based on where you are:
Python → Python-100-Days
ML → ML-For-Beginners
AI Fundamentals → AI-For-Beginners
LLMs → LLMs-from-scratch
Generative AI → Generative-AI-for-Beginners
Agents → AI-Agents-for-Beginners
Building → OpenAI Cookbook / LLM App
Computer Vision → Segment Anything
Pick one.
Build something.
Then move to the next.
Expect some specific details on the #Chandrayaan3 later today or early tomorrow as I'm scheduled to get some info soon. Just waiting for another confirmation. Arrived in Chennai this morning. Will be heading to Sriharikota Friday.
OL#6460
Orbital launch no: 104 of 2023 🇮🇳🚀#5 🇮🇳🛰️🌔
#Chandrayaan3: India's third lunar exploration mission is all set to launch on #LVM3 M4 🚀. @ISRO aiming for 2nd soft landing attempt. If all goes well 🇮🇳 will become the 4th country to successfully land on the #moon!
#India
Chandrayaan-3 mission:
The ‘Launch Rehearsal’ simulating the entire launch preparation and process lasting 24 hours has been concluded.
Mission brochure: https://t.co/OFzmpFse86
How on earth did she come up with this idea using just simple staples?? Incredibly creative but she should work on real car manufacturing &design now. We’ll be ready to recruit her!
The #SurfaceDuo.
Internals & User Experience.
Watch the full interplay of specs and mechanics right here: https://t.co/DBy2XWEljT
Gears, cables, and engineering.