Python - 100天从新手到大师

This is a repo with links to everything you'd ever want to learn about data engineering

Google Research

Official inference library for Mistral models

A collection of pre-trained, state-of-the-art models in the ONNX format

Reference PyTorch implementation and models for DINOv3

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Code samples used on cloud.google.com

Visualizations for machine learning datasets

TensorFlow documentation

Reference models and tools for Cloud TPUs.

Tutorials for creating and using ONNX models

Bayesian optimization in PyTorch

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

A collection of guides and examples for the Gemma open models from Google.

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

📱 ✅ Some awesome projects in python! 📱 ✅

Implementation of all RL algorithms in a simpler way

A collection of Jupyter notebooks developed by the community showing how to use Qiskit

SQL Server Workshops

Building DeepSeek R1 from Scratch

Practical Data Engineering: A Hands-On Real-Estate Project Guide

Python Quick Reference

A straightforward method for training your LLM, from downloading data to generating text.

Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples

A step by step implementation of a complex RAG pipeline to solve real world situations

Converting Unstructured Data to a Knowledge Graph: An End-to-End Pipeline

[Outdated. Please use https://github.com/numba/numba-examples] Examples of NumbaPro in use.