transformers vs reasoning-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | reasoning-from-scratch | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | Implement a reasoning LLM in PyTorch from scratch, step by step |
| Stars | 162k | 4.7k |
| Forks | 34k | 699 |
| Open issues | 2.5k | 2 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 6, 2026 |
| Categories | Data & Retrieval, Model Training, LLM Frameworks | LLM Frameworks, Model Training |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
reasoning-from-scratch
Repository containing code and resources for building a large language model with reasoning capabilities using PyTorch. Aimed at educational purposes to understand how reasoning models operate.
Jupyter Notebook