⭐ Tutorial
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
an implementation of transformer, bert, gpt, and diffusion models for learning purposes
LaTeX files for the Deep Learning book notation
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implementation of popular ML algorithms from scratch
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Examples and guides for using the GLM APIs
Robust recipes to align language models with human and AI preferences
Writing AI Conference Papers: A Handbook for Beginners
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
My learning notes for ML SYS.
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
This is the official repository for The Hundred-Page Language Models Book by Andriy Burkov
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）