Explore AI & ML resources curated by the community.
An end‑to‑end machine learning project that predicts Airbnb rental prices using data preprocessing, feature engineering, model training, and evaluation. Includes a complete workflow from raw data to a deployed prediction model with code and documentation.
A curated collection of 500+ real-world AI projects covering Machine Learning, Deep Learning, Computer Vision, and NLP. Each project includes source code for learning, experimentation, and practical reference.
A unified, production‑ready inference framework (also called Xinference) that lets you serve and run large language models, speech recognition, and multimodal models locally, on the cloud, or on‑premises through a single API supporting a variety of hardware, model types, and deployment modes.
A lightweight, high-performance C/C++ implementation for running LLaMA‑style large language models locally, supporting CPU and GPU inference with minimal dependencies.
Transformers by Hugging Face is a powerful open-source library for working with pretrained AI models. It simplifies tasks in NLP, computer vision, audio, and multimodal AI, allowing easy model loading, fine-tuning, and deployment with a user-friendly Python interface
TensorFlow is an open‑source machine learning framework developed by Google that enables building and training ML and AI models—from simple neural networks to advanced deep learning systems.
