mal - Make a Lisp
Repository Index
47,133 repositories indexed
121–144 of 355 · Most stars
TranslatedA programmer who loves cooking and is determined to use animations to explain algorithms in plain, easy-to-understand terms. My interview website: www.chengxuchu.com
- leetcode
- offer
- algorithms
- base
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)
Tutorial de como usar o Git e Github na prática
TranslatedFocused on big data learning and interviews, the road to becoming a big data god begins. Flink/Spark/Hadoop/Hbase/Hive...
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
The repository host gives no description.
:snowflake: a short introduction to node.js
TranslatedStarting from 0, master the basic process of doing research and writing papers.
- ai-research
- awesome
- awesome-list
- phd
TensorFlow Tutorials with YouTube Videos
TensorFlow tutorials and best practices.
This repository has examples of broken patterns in ASP.NET Core applications
Toturials coming with the "data science roadmap" picture.
Below are some simple methods for exiting vim.
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
:dolphin: A comprehensive tutorial on getting started with Docker!
- docker
- tutorials
- cloud-computing
- microservices
Simple tutorials using Google's TensorFlow Framework
The repository host gives no description.
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
:computer: :mortar_board: Git-it is a (Mac, Win, Linux) Desktop App for Learning Git and GitHub