The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
- algorithm
- algorithm-challenges
- data-structures
- cryptography
Algorithms and Data Structures implemented in Go for beginners, following best practices.
- algorithms
- algorithms-implemented
- data-structures
- datastructures
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
- instruction-tuning
- instruction-following
- large-vision-language-model
- visual-instruction-tuning
TranslatedA comprehensive summary of computer fundamentals interview questions (computer networks / operating systems / databases / Git...), including detailed follow-up questions and answers; everything is in the form of [question + follow-up + answer], ready to use right away and aimed directly at interviews at major internet companies; can be used for mock interviews, review before interviews, and preparing quickly for interviews in a short time...
- interview
- computer-science
- computer-network
- operating-system
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.
[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
- templates
- opensource
- naas
- notebooks-templates
:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is deprecated. Instead, I maintain all the contents using the following website]
- awesome
- research
- awesome-list
- awesomeness
📚 Sample Android Components Architecture on a modular word focused on the scalability, testability and maintainability written in Kotlin, following best practices using Jetpack.
- kotlin
- clean-architecture
- clean-code
- testing
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DDD+CQRS+Event-sourcing examples using EventFlow following CQRS-ES architecture. It is configured with RabbitMQ, MongoDB(Snapshot store), PostgreSQL(Read store), EventStore(GES). It's targeted to .Net Core 2.2 and include docker compose file.
- eventflow
- cqrs
- cqrs-es-architecture
- ges
Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html
Advanced Topics in Event Sourcing / CQRS / DDD. PRs welcome. This "project" follows Scala's CoC.
Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html