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Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems …
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
Keep your lambdas warm during winter. ♨
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Fu…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
System design interview for IT companies
Preparation links and resources for system design questions
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Design patterns implemented in Java
An updated introduction to the Spring Framework 5. Become an Expert understanding the core features of Spring In Depth. You would write Unit Tests, AOP, JDBC and JPA code during the course. Include…
A boilerplate for Node.js web applications
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
The most cited deep learning papers
Lime: Explaining the predictions of any machine learning classifier
Curated list of awesome GAN applications and demo
Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
Repo about neural networks for images handling
A Keras port of Single Shot MultiBox Detector
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities