Muhammad Naeem's repositories
100-go-mistakes
Source code of 100 Go Mistakes 📖
algorithms
My Algorithms and Data Structures studies. https://leandrotk.github.io/series/algorithms-problem-solving
AutoWebPerf
AutoWebPerf provides a flexible and scalable framework for running web performance audits with arbitrary audit tools including PageSpeedInsights, WebPageTest and more.
backendlore
How I write backends
cassandra-workshop-series
All materials for the Cassandra Workshop Series in a single place
ddd-cqrs-es-aws-sam
Comprehensive Domain Driven Design, CQRS, and Event Sourcing example utilizing AWS SAM.
demo-v-microfronted-html-entrypoint
Demo project to build Micro Frontends with a Team-Based Vertical Architecture using html as entry point
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
example-consumer
An example of a consumer that uses Pact+Pactflow to create a consumer driven contract with its provider
example-provider
An example of a provider that uses Pact+Pactflow to honour a consumer driven contract with its consumer
just-react
React技术揭秘
learn-istio
⛵️ Istio resources 🕸
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
react-native-web-monorepo
Code sharing between iOS, Android & Web using monorepo
sabbar-take-home-challenge
Sabbar Take Home Challenge
solution-architecture-patterns
Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stockpredictionai
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.
strong-node
:heavy_check_mark: More than 100 security checks for your Node.js API
talent-plan
open source training courses about distributed database and distributed systemes
type-challenges
Collection of TypeScript type challenges with online judge
typescript-event-sourcing
Domain Driven Design, Event Sourcing & Command Query Responsibility Segregation with Typescript
ultimate-backend
Multi tenant SaaS starter kit with cqrs graphql microservice architecture, apollo federation, event source and authentication
v8-perf
⏱️ Notes and resources related to v8 and thus Node.js performance