Code

Code

Runnable Python scripts and Jupyter notebooks demonstrating the concepts covered in the LaTeX/ slide decks, drawn from many contributors and courses, reorganized here by area. Where a subdirectory has its own README.md, it has more detail (setup, features) than the one-liner below; click through for that.

Standard setup for any subdirectory with an environment.yml:

conda env create -f Code/<subdir>/environment.yml
conda activate <env-name>

GenAI / Agents

Directory	Covers
langchain/	LangChain examples, fundamentals through advanced RAG and agent patterns
langgraph/	LangGraph examples covering stateful, graph-based agent orchestration
llamaindex/	LlamaIndex fundamentals, RAG patterns, agents, Groq/Ollama/HuggingFace integrations
crewai/	CrewAI multi-agent example (researcher subproject)
agents/	Proof-of-concept agents across AutoGen, CrewAI, and LangGraph
agno/	Minimal agent scripts using the Agno framework, backed by local LLM servers
google-adk/	Agent examples using Google's Agent Development Kit (ADK) with Gemini models

RAG Applications

Directory	Covers
chatbot-faqs/	FAQ chatbot using RAG with LlamaIndex and HuggingFace
chatbot-multimodal/	Multi-modal RAG (text, tables, images, code) via Docling + LlamaIndex
omni-rag/	Research-grade multimodal RAG for complex documents (tables, headers)
parsing/	Resume parsing + RAG toolkit for chatting with resume data
graphrag/	Knowledge graph construction and graph-based QA (LangChain + Groq)

LLM Fine-tuning & Serving

Directory	Covers
fine-tuning/	Overview and examples of fine-tuning small language models (SLMs)
amd/	AMD Academy workshop materials: AI agents, fine-tuning, LLM serving with vLLM
LOCAL_LLM_PLAN.md	Running small LLMs/SLMs locally on modest hardware (measured tok/s, model picks, LM Studio/Ollama setup); strongest use case is offline, reproducible classroom demos

Document Parsing

Directory	Covers
docling/	Streamlit book-QA app using Docling for parsing + LangChain for Q&A
opendataloader/	Tutorial suite for the opendataloader-pdf library

Deep Learning

Directory	Covers
pytorch/	PyTorch fundamentals: tensors, neural networks, training loops, image classification
curiosily_ai_bootcamp/	AI Bootcamp notebooks (supersedes the earlier dl_curiousily/)

Classical ML

Directory	Covers
ml/	~160 notebooks covering classical ML algorithms and data analysis patterns
math/	Statistics and math tutorial notebooks (Bayes' theorem, hypothesis testing, distributions)
pandas/	Pandas tutorial notebooks
python/	Individual Python script examples (data structures, algorithms, Big-O, graphics)
interview/	Coding-interview practice: LeetCode/PyTorch/DSA exercises

NLP

Directory	Covers
spacy/	spaCy for NER, custom pipelines, batch processing, with an Indic-language focus
nlp/	Classical NLP tutorials (BERT, NLTK, spaCy, Doc2Vec classification, knowledge graphs)
dnlp/	Deep NLP notebooks: attention mechanisms, sentiment analysis, NER with BiLSTM-CRF
dbpedia/	Neural extraction framework for DBpedia (GSoC 2024 project)

GNN

Directory	Covers
gnn/	Graph Neural Networks with PyTorch Geometric: molecular property prediction, knowledge graphs
AIinGraphs/	Standalone write-up on graph-based AI

Indic Language

Directory	Covers
mahamarathi/	Marathi language dataset (Telugu-LLM-Labs Marathi Alpaca)
sarvam/	Indic language AI via Sarvam AI and HuggingFace Inference APIs (speech, translation, TTS)
orgpedia/	Automatic Q&A generation for OrgPedia ML training

Research References & Tools

Directory	Covers
txt2cad/	Research reference / design docs for Text-to-CAD generation (no runnable code)
txt2sql/	Research reference / design docs for Text-to-SQL generation (no runnable code)
chromeext/	Chrome extension project (LifeTimer)
claudecode/	Claude Code workshop materials, example configs, and community resources
opencode/	OpenCode CLI demo project
reports/	Dated repo/codebase upgrade reports

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Note: Code/.gitignore covers __pycache__/, .ipynb_checkpoints/, .env, *.pyc, and model weights (*.bin, *.pt, *.safetensors) repo-wide.