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🦌 Soothing pastel theme for VSCode & Azure Data Studio
Awesome-LLM: a curated list of Large Language Model
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
A modular graph-based Retrieval-Augmented Generation (RAG) system
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
Question and Answer based on Anything.
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
FudanSELab / train-ticket
Forked from hechuan73/train_ticketTrain Ticket - A Benchmark Microservice System
A Chaos Engineering Platform for Kubernetes.
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
MLNLP: Notes for MIT-Linear-Algebra
US Tech intern/new-grad positions for 2024
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
Collection of Summer 2025 tech internships!
A collection of full time roles in SWE, Quant, and PM for new grads.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Set up a modern web app by running one command.
Official electron build of draw.io
Virtual whiteboard for sketching hand-drawn like diagrams
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Most comprehensive list 📋 of tech interview questions 📘 of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.