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Community-curated setup guides for modern tech stacks.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter notebooks and mathematical explanations. Learn the fundamentals by building ML algorithms yourself.
Get started with Hugging Face Transformers, the leading library for state-of-the-art machine learning models in PyTorch, TensorFlow, and JAX. Learn installation, configuration, and practical use cases for NLP, vision, audio, and multimodal tasks.
Official comprehensive guide for LLaMA model inference, fine-tuning, RAG, and end-to-end use cases. Includes examples for domain adaptation and LLM applications.
Framework for fine-tuning LLMs with synthetic data using the LAB (Large-Scale Alignment for ChatBots) method. Now refactored into SDG Hub and Training Hub components.
Ray is an AI compute engine for scaling AI and Python applications. It consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The largest hub of ready-to-use datasets for machine learning models with over 100,000 datasets for NLP, computer vision, audio, and more.
A lightweight, offline-capable AI tool for automatic ID photo generation with portrait matting, background replacement, and layout photo creation.
Set up and use fighting41love/funNLP - a comprehensive collection of 80,000+ starred Chinese NLP resources including sensitive word detection, language detection, datasets, and tools.