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>
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
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.mdRunning small LLMs/SLMs locally on modest hardware (measured tok/s, model picks, LM Studio/Ollama setup); strongest use case is offline, reproducible classroom demos
Directory
Covers
docling/Streamlit book-QA app using Docling for parsing + LangChain for Q&A
opendataloader/Tutorial suite for the opendataloader-pdf library
Directory
Covers
pytorch/PyTorch fundamentals: tensors, neural networks, training loops, image classification
curiosily_ai_bootcamp/AI Bootcamp notebooks (supersedes the earlier dl_curiousily/)
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
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)
Directory
Covers
gnn/Graph Neural Networks with PyTorch Geometric: molecular property prediction, knowledge graphs
AIinGraphs/Standalone write-up on graph-based AI
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
Note: Code/.gitignore covers __pycache__/, .ipynb_checkpoints/, .env, *.pyc, and
model weights (*.bin, *.pt, *.safetensors) repo-wide.