Stars
The guide to online assessments and interviews
use your reMarkable as a graphics tablet
Answers to 120 commonly asked data science interview questions.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Data science interview questions and answers
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
🟣 OOP interview questions and answers to help you prepare for your next technical interview in 2024.
Public quant internship repository, maintained by NUFT but available for everyone.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
An Interview Primer for Quantitative Finance
💯 Curated coding interview preparation materials for busy software engineers
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
A List of Data Science/Machine Learning Resources (Mostly Free)
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
Open CS Application | 开源CS申请
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
📚 Solutions to Introduction to Algorithms Third Edition
This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
Acceptance rates for the major AI conferences
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…