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All LLD and Machine Coding Rounds Questions and Answers
All the resources you need to get to Senior Engineer and beyond
Curated coding interview preparation materials for busy software engineers
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
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Opensource IDE For Exploring and Testing API's (lightweight alternative to Postman/Insomnia)
Open-source, low-latency key/value engine built on Valkey with query subscriptions and hierarchical storage tiers.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
List of Open Source production-ready web projects
Vane is an AI-powered answering engine.
Go implementation of the Ethereum protocol
Learn Low Level Design (LLD) and prepare for interviews using free resources.
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
Open Source Static Scanning tool to detect data flows in your code, find data security vulnerabilities & generate accurate Play Store Data Safety Report.
Algorithm and data structure articles for https://cp-algorithms.com (based on http://e-maxx.ru)
🎓 Path to a free self-taught education in Computer Science!
yssoe / trade-frame
Forked from rburkholder/trade-framec++ based application for testing options based automated trading ideas using DTN IQ real time data feed and Interactive Brokers (TWS API) for trade execution.
Tutorials and programming exercises for learning Q# and quantum computing
Book Code for ICPC; Unmaintained, see https://github.com/kth-competitive-programming/kactl/ or https://github.com/ecnerwala/cp-book
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
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Updated May 1, 2019
A one stop solution to ace your next coding interview 👨💻
Here you will find materials for the course of Computational Finance
