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Awesome GitHub RepositoriesModel Fine-Tuning and Adaptation
Techniques and workflows for refining pre-trained models to specific domains, modalities, or task requirements.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Model Fine-Tuning and Adaptation. Refine with filters or upvote what's useful.
Awesome Model Fine-Tuning and Adaptation GitHub Repositories
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- mlabonne/llm-course
This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as we
courselarge-language-modelsllm - openai/codex
Codex is an automated programming tool and generative code assistant designed to interpret developer intent through a natural language interface. It functions as a machine learning model trained on public code repositories to provide intelligent code completion, suggestions, and refactoring within development environme
Rust - unslothai/unsloth
Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade
Pythonagentdeepseekdeepseek-r1
Explore sub-tags
- Language Model TrainingTools and techniques designed to optimize the speed and memory efficiency of training large language models.
- Multimodal Fine-TuningMethods for adapting models that process multiple data types, such as vision, audio, and text, to specific datasets.
- Supervised Fine-TuningMethods for refining pre-trained models on curated datasets to improve performance for specific tasks or behaviors.