yubol-bobo

skillsbench. SkillsBench evaluates how well skills work and how effective agents are at using them.

ace-the-system-design-interview. HTML

CitationClaw. 让每一次引用都成为可解释的影响力 Turning Every Citation into Explainable Impact

Project_tracking. HTML

Awesome-Efficient-Agents. Survey and paper list on efficiency-guided LLM agents (memory, tool use, planning).

distributed-training-guide. Best practices & guides on how to write distributed pytorch training code

planning-with-files. Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Claude Code, Codex, Cursor, Kiro, OpenCode and 60+ agents via the Agent Skills standard.

Awesome-World-Models. A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.

Awesome-Latent-Space. A paper list of Awesome Latent Space.

Chain-of-Dynamics. Jupyter Notebook

Awesome-Multi-Turn-LLMs. This is the official GitHub repository for our survey paper "Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models".

mPLUG-DocOwl. mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

practicalAI-cn. AI实战-practicalAI 中文版

one-small-step. 这是一个简单的技术科普教程项目，主要聚焦于解释一些有趣的，前沿的技术概念和原理。每篇文章都力求在 5 分钟内阅读完成。

LeetCUDA. LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.

llm_interview_note. 主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

awesome-generative-ai-guide. A one stop repository for generative AI research updates, interview resources, notebooks and much more!

AI-in-One-Interview-Handbook. Jupyter Notebook

Data-Science-Interview-Questions-Answers. Curated list of data science interview questions and answers

LLMForEverybody. 每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

LLMSurvey. The official GitHub page for the survey paper "A Survey of Large Language Models".

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Academic-project-page-template. A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

Awesome-LaTeXViz. A curated repository of high-quality LaTeX examples and templates for creating publication-ready tables, plots, and figures in academic papers.

LeetCode-Go. ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解

Machine-Learning-System-Design. A collection of useful resources for Machine Learning System Design

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

lilianweng.github.io. My personal page

awesome. 😎 Awesome lists about all kinds of interesting topics

ragflow. RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Controllable-RAG-Agent. This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

RAG_Techniques. This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

LLMs-from-scratch. Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

llm-alignment-survey. A curated reading list for large language model (LLM) alignment. Take a look at our new survey "Large Language Model Alignment: A Survey" for more details!

paper-reading. 深度学习经典、新论文逐段精读

hello-algo. 《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现

Awesome-explainable-AI. A collection of research materials on explainable AI/ML

evidently. Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Prompt-Engineering-Guide. 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

awesome-courses. :books: List of awesome university courses for learning Computer Science!

dlwpt-code. Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

NeuroNER. Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

annotated_deep_learning_paper_implementations. 🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

research_tao. NLP研究入门之道

data-focused-python. Jupyter Notebook