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1–24 of 24 · Most stars

Lists of company wise questions. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of 20 Oct, 2025

  • google-interview
  • interview
  • online-assessment
  • meta-interview

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are organized to help you easily find relevant case studies based on industry or specific ML use cases.

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.

Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise

  • solutions-architect
  • solutions-engineering
  • enterprise-architecture
  • enterprise-software

A repository of resources about public speaking, specifically in the context of software development and IT conferences.

EventStorming workshop, this is a hands-on workshop. Contains such topics: DDD, Event storming, Specification by example. Including the AWS product : Serverless Lambda , DynamoDB, Fargate, CloudWatch.

An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

  • hyperopt
  • hyperparameter-optimization
  • hyperparameter-tuning
  • hyperparameters-optimization

A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.

Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON

  • functional-programming
  • java
  • json
  • json-generator