Lists (5)
Stars
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This is a repo with links to everything you'd ever want to learn about data engineering
The fastai book, published as Jupyter Notebooks
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Playing Pokemon Red with Reinforcement Learning
Flax is a neural network library for JAX that is designed for flexibility.
A better notebook for Scala (and more)
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Documentation for Google's Gen AI site - including the Gemini API and Gemma
18.335 - Introduction to Numerical Methods course
Run M Files from Python - GNU Octave to Python bridge
Entry for Grab's AI for S.E.A. challenge
Autoregressive RNN for Forecasting