Repository Index

Community guide to using YubiKey for GnuPG and SSH - protect secrets with hardware crypto.

• yubikey
• gpg
• gnupg
• ssh

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

TranslatedChinese translation of wtfpython / ongoing 🚧... / My ability is limited, you are welcome to help me improve the translation

Code documentation written as code! How novel and totally my idea!

Translated:books: This repository is a summary of the technical learning journey of the author, Xiao Fuge (小傅哥), from many years of working in front-line internet Java development. It aims to give everyone a clear and detailed learning tutorial, with a focus on writing about core Java content. If this repository helps you, please show your support (follow, like, share)!

• java
• javafx
• spring
• mybaits

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

Toturials coming with the "data science roadmap" picture.

Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.

• go
• golang
• ddd
• clean-architecture

Simple tutorials using Google's TensorFlow Framework

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.

Deep Learning Tutorial notes and code. See the wiki for more info.

Examples and Tutorials of Event Sourcing in .NET

• event-sourcing
• cqrs
• dotnet-core
• example

:earth_americas: machine learning tutorials (mainly in Python3)

• machine-learning
• data-science
• jupyter-notebook
• 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

‼️ A complete primer on the whys and hows of todo.txt.

• todo
• todotxt
• todos

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

TranslatedCAPTCHA recognition

• captcha-breaking
• keras-tutorials
• deep-learning
• keras

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

Implementing a Neural Network from Scratch

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Malware samples, analysis exercises and other interesting resources.

• malware-samples
• trickbot
• pcaps
• lokibot

A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.

• 100daysofcode
• cpp
• esp32
• esp8266