AshVijay's starred repositories

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Language:Jupyter NotebookLicense:MITStargazers:4068Issues:0Issues:0

Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

Stargazers:3000Issues:0Issues:0

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Language:Jupyter NotebookStargazers:3469Issues:0Issues:0

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Language:TeXStargazers:4839Issues:0Issues:0

awesome-mlops

A curated list of references for MLOps

Stargazers:12349Issues:0Issues:0

Tech-Interview-Cheat-Sheet

Studying for a tech interview sucks. Here's an open source cheat sheet to help

Language:TypeScriptLicense:MITStargazers:4114Issues:0Issues:0

leetcode-patterns

A pattern-based approach for learning technical interview questions

Language:JavaScriptLicense:GPL-3.0Stargazers:9828Issues:0Issues:0

macrosynergy

Macrosynergy Quant Research

Language:PythonLicense:BSD-3-ClauseStargazers:75Issues:0Issues:0

gs-quant

Python toolkit for quantitative finance

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7347Issues:0Issues:0
Language:PythonStargazers:134Issues:0Issues:0

Ethical-Hacking-Labs

Practical Ethical Hacking Labs 🗡🛡

Stargazers:2435Issues:0Issues:0

awesome-ethical-hacking-resources

😎 🔗 Awesome list about all kinds of resources for learning Ethical Hacking and Penetration Testing.

License:MITStargazers:2390Issues:0Issues:0

h4cker

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Language:Jupyter NotebookLicense:MITStargazers:17800Issues:0Issues:0

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Language:PythonLicense:NOASSERTIONStargazers:266373Issues:0Issues:0

machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

Language:HTMLStargazers:8838Issues:0Issues:0

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stargazers:8794Issues:0Issues:0

hack-tools

hack tools

Language:PythonStargazers:1003Issues:0Issues:0

favorite_essays

Updating list of favorite internet essays

Stargazers:45Issues:0Issues:0

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:24397Issues:0Issues:0

essential-js-design-patterns

Repo for my 'Learning JavaScript Design Patterns' book

Language:HTMLStargazers:4730Issues:0Issues:0

system-design-resources

These are the best resources for System Design on the Internet

License:GPL-3.0Stargazers:15392Issues:0Issues:0

Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

Stargazers:4342Issues:0Issues:0

AI-Product-Index

A curated index to track AI-powered products.

License:MITStargazers:753Issues:0Issues:0

ML-Notebooks

:fire: Machine Learning Notebooks

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3260Issues:0Issues:0

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

License:NOASSERTIONStargazers:5957Issues:0Issues:0

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

License:CC0-1.0Stargazers:14606Issues:0Issues:0

devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Language:PythonLicense:NOASSERTIONStargazers:65311Issues:0Issues:0

ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

Stargazers:9615Issues:0Issues:0

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

Language:TeXStargazers:7139Issues:0Issues:0

ai-notes

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

Language:HTMLLicense:MITStargazers:4962Issues:0Issues:0