Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
- deep-learning
- coursera
- coursera-assignment
- coursera-specialization
Plain python implementations of basic machine learning algorithms
This repository contains a detailed sample app that implements MVP architecture using Dagger2, GreenDao, RxJava2, FastAndroidNetworking and PlaceholderView
- mvp-architecture
- dagger2
- rxjava
- fast-android-networking
Beyond the basics of Node.js testing. Including a super-comprehensive best practices list and an example app (April 2025)
TranslatedRecord CS knowlegement with XMind, version 2.0. Use XMind to record some designs of the Linux operating system, networking, C++, Golang, and databases
TranslatedA knowledge base for red teaming and offensive security.
- command-and-control
- execution
- exploit
- initial-access
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.
:cyclone: Clean Architecture with .NET6, C#10 and React+Redux. Use cases as central organizing structure, completely testable, decoupled from frameworks
- solid-principles
- ddd-architecture
- clean-architecture
- clean-code
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Translated《御舆:解码 Agent Harness》(Yuyu, "Imperial Carriage: Decoding the Agent Harness"): 420,000 characters dissecting the Harness skeleton and nervous system of AI Agents — an in-depth analysis of the Claude Code architecture, 15 chapters from the conversation loop to building your own Agent Harness. Online reading website:
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
☕ A practical event-driven microservices demo built with Golang. Nomad, Consul Connect, Vault, and Terraform for deployment
- clean-architecture
- echo-framework
- golang
- grpc-gateway
Demo app of React Server Components.
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
- barcode
- barcode-scanner
- face-detection
- image-labeling
A collection of tips to help up your jQuery game. 🎮
Cybersecurity oriented awesome list
AI system design guide for engineers building production AI systems and evals.
A list of online resources for quantitative modeling, trading, portfolio management
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
A list of papers and datasets about point cloud analysis (processing)
- 3d-graphics
- 3d-reconstruction
- 3d-registration
- 3d-representation
Repository which contains links and resources on different topics of Computer Science.
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.