Repository Index

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.

• agentic-ai
• langmem
• mcp
• openai-api

TranslatedCourse documents and source code (public part) for the Internet Architect course with an annual salary of 1,000,000

learn database internals by building a storage engine in Rust

• database
• lsm-tree
• rust
• storage

Curso de JavaScript

• curso
• gratis
• javascript
• cursoemvideo

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

Starter-kit for writing services in Go using Kubernetes.

Statistical Rethinking course winter 2022

The repository host gives no description.

Homepage for STAT 157 at UC Berkeley

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

• machine-learning
• deep-learning
• python
• artificial-intelligence

A course to build distributed key-value service based on TiKV model

React - The Complete Guide Course Resources (Code, Attachments, Slides)

Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.

• workshop
• docker
• swarm
• kubernetes

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

• deep-reinforcement-learning
• qlearning
• deep-learning
• tensorflow-tutorials

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

• deep-learning
• machine-learning
• python
• pytorch

This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.

The fast.ai course notebooks

• deep-learning
• fastai
• jupyter-notebooks
• machine-learning

Curated lessons on getting started building agents with Copilot Studio

• agents
• copilot

Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.

• agent-skills
• agentic-coding
• ai-agents
• anthropic

Training materials and labs for a "Getting Started" level course on COBOL

• cobol-programming
• training-materials
• labs
• cobol

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

• cnn
• rnn
• detection
• classification

All notes and materials for the CS229: Machine Learning course by Stanford University

• machine-learning
• stanford-university
• neural-networks
• cs229

Starter files, final projects and FAQ for my Complete Node.js Bootcamp

• udemy
• starter-files

Blazor workshop