GoogleCloudPlatform / generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Python - 100天从新手到大师
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Google Research
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Examples and guides for using the OpenAI API
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
📚 从零开始的大语言模型原理与实践教程
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.