TranslatedA Chinese-language guide to teaching C++ Templates. Unlike the well-known book C++ Templates, this tutorial series teaches C++ Templates as a Turing-complete language, in order to help readers thoroughly master Meta-Programming. (Under construction)
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TranslatedFocused on big data learning and interviews, the road to becoming a big data god begins. Flink/Spark/Hadoop/Hbase/Hive...
Writing a sqlite clone from scratch in C
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
How to systematically secure anything: a repository about security engineering
- security-engineering
- security-architecture
- secure-systems
- threat-modeling
This repository has examples of broken patterns in ASP.NET Core applications
Toturials coming with the "data science roadmap" picture.
Kubernetes application example tutorials
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
- go
- golang
- ddd
- clean-architecture
From the basics to slightly more interesting applications of Tensorflow
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
how to build modular applications with browserify
Examples and Tutorials of Event Sourcing in .NET
- event-sourcing
- cqrs
- dotnet-core
- example
:earth_americas: machine learning tutorials (mainly in Python3)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Guidelines and training material to write secure smart contracts
Demonstrates how to build a live broadcast app(Swift 3)
Ruby Tricks, Idiomatic Ruby, Refactoring and Best Practices
Implementing a Neural Network from Scratch
Handout for the tutorial "Creating publication-quality figures with matplotlib"
From Shell to Plate: Savor the Zest of Fish 🦞