11 Repos
Guides, best practices, and tools for building and fine-tuning AI models.
Explore 11 awesome GitHub repositories matching part of an awesome list · Development Techniques. Refine with filters or upvote what's useful.
This project is a comprehensive framework for the entire lifecycle of transformer-based language models, supporting everything from foundational pretraining to specialized deployment. It provides a modular toolkit for defining neural network architectures, managing data preparation pipelines, and executing training routines across various scales. The framework is designed to handle the full model development process, including supervised fine-tuning, behavioral alignment, and the integration of agentic capabilities. What distinguishes this framework is its focus on efficient training and adva
Optimization techniques for low-resource training.
Tiny Universe is an educational monorepo that delivers multiple independent implementations of core AI subsystems as self-contained Jupyter notebooks. It provides from-scratch constructions of foundational architectures including a complete Transformer model built from the original paper specification, a denoising diffusion probabilistic model for image generation, and a ReAct-style autonomous agent framework that equips an LLM with tools for planning and multi-step task execution. The project distinguishes itself by covering the full lifecycle of modern AI systems through hands-on implementa
Educational resources for AI model development.
Training and optimization techniques for small models.
Best practices for distributed model training.
Practical guide for fine-tuning vision-language models.