#695 · Primary category： Education & Research
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
Project last updated：03/24/23
GitHub Stars
4.2K
Forks
1.0K
Contributors
8
License
Other
Why we included this project
Behind Stanford's CS230 deep learning course sits a compact codebase that pairs a vision project and an NLP project, each written twice: once in PyTorch and once in TensorFlow. Reading the two side by side makes it easy to see how the frameworks handle the same task differently. The examples are short enough to follow line by line, which makes them a decent template for structuring your own data loading, training loops, and evaluation. If you're teaching or self-studying deep learning, they also work well as reference implementations you can actually walk through in a lecture or an afternoon.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
prompts.chat
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
JavaGuide
Java Interview & Backend General Interview Guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development.
system-prompts-and-models-of-ai-tools
A curated collection of system prompts, internal tools, and AI models from popular AI assistants and coding agents.
30-seconds-of-code
Coding articles to level up your development skills
generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI