easy-dataset vs LLMs-from-scratch
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| easy-dataset | LLMs-from-scratch | |
|---|---|---|
| Tagline | A powerful tool for creating datasets for LLM fine-tuning, RAG, and Eval | Implement a ChatGPT-like LLM in PyTorch from scratch |
| Stars | 15k | 99k |
| Forks | 1.5k | 15k |
| Open issues | 122 | 4 |
| Language | JavaScript | Jupyter Notebook |
| License | Other | Other |
| Last pushed | May 1, 2026 | Jun 2, 2026 |
| Categories | Evaluation & Observability, Model Training | Model Training, LLM Frameworks |
easy-dataset
Easy Dataset is an application designed to build high-quality structured datasets from domain-specific documents for use in large language model (LLM) applications such as fine-tuning, retrieval-augmented generation (RAG), and performance evaluation.
JavaScript
LLMs-from-scratch
Repository containing code and instructions for developing, pretraining, and finetuning a GPT-like large language model (LLM) using PyTorch.
Jupyter Notebook