https://github.com/cllspy/harvardcs197
My Code Repository for AI Research Specialization by Harvard
https://github.com/cllspy/harvardcs197
Last synced: 5 months ago
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My Code Repository for AI Research Specialization by Harvard
- Host: GitHub
- URL: https://github.com/cllspy/harvardcs197
- Owner: CllsPy
- Created: 2025-10-14T00:01:59.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-10-14T21:39:48.000Z (6 months ago)
- Last Synced: 2025-10-14T23:55:15.648Z (6 months ago)
- Language: Jupyter Notebook
- Size: 423 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI Research Experiences Harvard CS197
Repository for my code for the course [Harvard CS197: AI Research Experiences](https://www.cs197.seas.harvard.edu/)
## About the specialization
Dive into cutting-edge development tools like PyTorch, Lightning, and Hugging Face, and streamline your workflow with VSCode, Git, and Conda. You'll learn how to harness the power of the cloud with AWS and Colab to train massive deep learning models with lightning-fast GPU acceleration. Plus, you'll master best practices for managing a large number of experiments with Weights and Biases. And that's just the beginning! This course will also teach you how to systematically read research papers, generate new ideas, and present them in slides or papers. You'll even learn valuable project management and team communication techniques used by top AI researchers. Don't miss out on this opportunity to level up your AI skills.
Instructed by Professor [Pranav Rajpurkar.](https://pranavrajpurkar.com/)
### Classes
This course counts with 21 Lecture Notes
| No | Lecture Name | Date Completed | Folder | Notes |
|----|----------------------------------------------------------------|--------|----------------|-------|
| 1 | [You Complete My Sandwiches / Exciting Advances with AI Language Models](https://docs.google.com/document/d/1FHnGGGhTTarovEAVzSfELlNvxhXFJV4DkpuGgMKaEGw/edit?tab=t.0#heading=h.cpm24dharnhg) | August 3th, 2025 | | |
| 2 | [The Zen of Python / Software Engineering Fundamentals](https://docs.google.com/document/d/1z5ELxpTw_U01jUB6-D6ILqHRPg6SSiLE7VFQryH3LPU/edit?tab=t.0) | August 4th, 2025 | | |
| 3 | Shoulders of Giants / Reading AI Research Papers | August 5th, 2025 | | |
| 4 | In-Tune with Jazz Hands / Fine-tuning a Language Model using Hugging Face | August 6th, 2025 | | |
| 5 | Lightning McTorch / Fine-tuning a Vision Transformer using Lightning | August 7th, 2025 | | |
| 6 | Moonwalking with PyTorch / Solidifying PyTorch Fundamentals | October 13th, 2025 | | |
| 7 | Moonwalking with PyTorch (cont’d) | | | |
| 8 | Experiment Organization Sparks Joy / Organizing Model Training with W&B and Hydra | | | |
| 9 | Experiment Organization Sparks Joy (cont’d) | | | |
| 10 | I Dreamed a Dream / A Framework for Generating Research Ideas | | | |
| 11 | I Dreamed a Dream (cont’d) | | | |
| 12 | Today Was a Fairytale / Structuring a Research Paper | | | |
| 13 | Today Was a Fairytale (cont’d) | | | |
| 14 | Deep Learning on Cloud Nine / AWS EC2 for Deep Learning | | | |
| 15 | Deep Learning on Cloud Nine (cont’d) | | | |
| 16 | Make your dreams come tuned / Fine-Tuning Your Stable Diffusion Model | | | |
| 17 | Make your dreams come tuned (cont’d) | | | |
| 18 | Research Productivity Power-Ups / Tips to Manage Your Time and Efforts | | | |
| 19 | The AI Ninja / Making Progress and Impact in AI Research | | | |
| 20 | Bejeweled / Tips for Creating High-Quality Slides | | | |
| 21 | Model Showdown / Statistical Testing to Compare Model Performances | | | |