AlexIoannides/transformers-gen-ai
Developing generative language models using transformers.
This is a learning resource for developers who want to understand how transformer-based language models are built and trained from scratch using PyTorch. It provides well-structured, documented code for implementing key components of these models. Developers can use this to learn how to create and apply generative language models for tasks like semantic search and sentiment analysis.
No commits in the last 6 months.
Use this if you are a developer looking for a clear, well-explained codebase to understand the internal workings of transformer models and build them yourself.
Not ideal if you are a practitioner who only wants to use pre-built language models without delving into their implementation details.
Stars
11
Forks
8
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 18, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/AlexIoannides/transformers-gen-ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
huggingface/text-generation-inference
Large Language Model Text Generation Inference
OpenMachine-ai/transformer-tricks
A collection of tricks and tools to speed up transformer models
poloclub/transformer-explainer
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
IBM/TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
tensorgi/TPA
[NeurIPS 2025 Spotlight] TPA: Tensor ProducT ATTenTion Transformer (T6)...