#611 · Primary category: Education & Research
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Project last updated:03/27/24
GitHub Stars
4.6K
Forks
1.2K
Contributors
4
License
MIT
Why we included this project
People picking up PyTorch for text classification will find this tutorial series hard to put down. It walks through the whole pipeline, starting with raw movie reviews and ending at a trained model, with each notebook introducing a different architecture: a neural bag-of-words baseline, then LSTMs, CNNs, transformers, and BERT. What sets it apart is that the theory comes before the code, so you grasp why a model works before copying it into your own project. That makes it useful both for implementing your own sequence classifier and for teaching NLP to a team.
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