https://github.com/bandirevanth/aiml-codex
A curated collection of my AI & ML projects - crafting tomorrow’s smart solutions with innovation & precision
https://github.com/bandirevanth/aiml-codex
ai applied-ai computer-vision data-science data-visualisation data-visualization generative-ai llm ml neural-networks nlp projects python software-engineering technology tool tools transformers
Last synced: 7 days ago
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A curated collection of my AI & ML projects - crafting tomorrow’s smart solutions with innovation & precision
- Host: GitHub
- URL: https://github.com/bandirevanth/aiml-codex
- Owner: bandirevanth
- License: agpl-3.0
- Created: 2025-08-20T04:38:50.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2026-04-01T01:20:43.000Z (26 days ago)
- Last Synced: 2026-04-01T03:56:44.343Z (26 days ago)
- Topics: ai, applied-ai, computer-vision, data-science, data-visualisation, data-visualization, generative-ai, llm, ml, neural-networks, nlp, projects, python, software-engineering, technology, tool, tools, transformers
- Language: Jupyter Notebook
- Homepage:
- Size: 46.8 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: news_aggregator/OAI_CONFIG_LIST.json
- License: LICENSE
- Notice: NOTICE
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README
# 🤖 AI/ML Codex
*A collection of my curated AI & Machine Learning projects — building the future and making an impact!*
---
## 🌟 Vision
This repository serves as my **living codex of AI/ML explorations, experiments, and full-fledged projects**.
From research prototypes to production-grade systems, the goal is simple:
to **push the boundaries of what’s possible with AI**, learn relentlessly, and share that journey.
---
## 📂 Contents
Here’s what you’ll find inside this codex:
- 📈 **Applied AI Projects**
- LLM-powered apps (RAG, autonomous agents, assistants)
- AI-first full-stack systems (finance, productivity, healthcare, education)
- 🧠 **Core ML Projects**
- Classical ML algorithms (SVMs, Random Forests, Regression)
- Deep Learning models (CNNs, RNNs, Transformers)
- ⚙️ **MLOps & Deployment**
- Experiment tracking
- Model serving
- CI/CD for AI
- 🧪 **Research & Experiments**
- Novel architectures & training approaches
- Explorations with embeddings, multi-agent systems, and reinforcement learning
---
## 🛠️ Tech Stack
Some of the tools & frameworks you’ll (soon) see across projects:
- **Languages**: Python
- **ML/AI**: PyTorch, Transformers (Hugging Face), scikit-learn, NumPy, Pandas
- **LLMs & Agents**: LangChain, AutoGen, LlamaIndex, CrewAI, Gemini, Google ADK,
- **Visualisation**: Matplotlib, Plotly, Streamlit
---
## 🚀 Getting Started
Clone the repository and explore any project:
```bash
git clone https://github.com/your-username/ai-ml-codex.git
cd ai-ml-codex/project-folder
```
## ⚠ Note
This repository contains experimental and educational AI/ML projects.
Models, results, and metrics may be incomplete, incorrect, unstable, or outdated. (Results may vary due to randomness, hardware differences, dataset versions, or library updates)
Use at your own risk. Always validate results independently before real-world use.
It must not be used for malicious, deceptive, or unethical applications.
## 📜 Roadmap
- Expand Codex with 10+ production-ready AI apps
- Add detailed tutorials & blog posts
## ⚠️ Disclaimer
These projects are for learning, research, and demonstration purposes.
They are not intended to provide financial, medical, or legal advice. Use responsibly.
## 🤝 Contributions
This codex is personal yet open — feel free to fork, star ⭐, or open issues for ideas, feedback, or improvements.