Tic Tac Toe游戏，可以与同一计算机上的另一个玩家玩，也可以与使用极大极小算法进行选择的人工智能玩
Tic Tac Toe game that can be played with another player on the same computer or an AI that utilizes the minimax algorithm to make its choices (2024-03-22, JavaScript, 0KB, 下载0次)
斯坦福CS231n：用于视觉识别任务和实践的卷积神经网络
Stanford CS231n: Convolutional Neural Networks for Visual Recognition assignments and practices (2024-01-02, Jupyter Notebook, 0KB, 下载0次)
课件：通过深度学习监督机器学习。人工智能和斯坦福大学
Coursera: Supervised Machine Learning by DeepLearning.AI & Stanford University (2023-11-30, Python, 0KB, 下载0次)
斯坦福CS 299机器学习深度学习备忘单
Cheatsheets for Deep Learning Stanford CS 299 Machine Learning (2023-11-03, Others, 0KB, 下载0次)
TF2插件，允许玩家在MvM.中的机器人团队中玩。，
A TF2 plugin that allows players to play in the robot team in MvM., (2023-07-31, SourcePawn, 0KB, 下载0次)
在Google Colab上实现基于图像的虚拟试运行，
Implementation of Image Based Virtual Try-On on Google Colab, (2023-07-24, Others, 0KB, 下载0次)
andrew Ng为斯坦福大学机器学习课程提供的解决方案
Solutions to stanford university machine learning course by andrew Ng (2017-10-18, matlab, 0KB, 下载0次)
2014年斯坦福大学机器学习Coursera公开课程代码。
Code for 2014 Stanford Machine Learning open course on Coursera. (2016-10-02, matlab, 0KB, 下载0次)
斯坦福大学机器学习课程（Coursera）的我的解决方案
My solutions of Machine Learning course (Coursera) by Stanford Univesity (2020-03-24, matlab, 0KB, 下载0次)
斯坦福2020春季CS229机器学习课程个人笔记
Personal notes for course CS229 Machine Learning @ Stanford 2020 Spring (2020-06-21, Others, 0KB, 下载0次)
斯坦福大学CS 330课程的最终项目，2022年秋季
Final project for Stanford s CS 330 course, Fall 2022 (2022-12-04, Jupyter Notebook, 2669KB, 下载0次)
策略作为程序逻辑的少试贝叶斯模拟学习
Few-shot Bayesian Imitation Learning with Policies as Logic over Programs (2022-06-26, Python, 11KB, 下载0次)
奥赛罗，2008年起：强化学习（Q-Learning）和玩奥赛罗游戏。还有贪婪玩家、随机玩家和...
From 2008: Reinforcement Learning (Q-Learning) and playing a game of Othello. Also, Greedy Player, Random Player, and Human Player. This is grad school. More fun times. (2019-09-23, Java, 95KB, 下载0次)
ai4all_computervision，斯坦福大学2019年ai4all计算机视觉课程幻灯片
ai4all_computervision,Slides for Stanford s 2019 AI4ALL Computer Vision Course (2019-08-02, TeX, 89915KB, 下载0次)
进化函数逼近器，观察前馈神经网络通过试错逼近函数。
Evolutionary-Function-Approximator,Watch feedforward neural networks approximate a function through trial and error. (2016-09-21, JavaScript, 322KB, 下载0次)
ml-class，斯坦福大学吴恩达机器学习课程的练习
ml-class,Exercises from Stanford s Andrew Ng s Machine Learning course (2012-06-30, matlab, 29393KB, 下载0次)
ML Stanford，Andrew NG对斯坦福大学Coursera ML课程的回答
ML-Stanford,Answers of ML course of Coursera from Stanford University by Andrew NG (2022-06-05, matlab, 144490KB, 下载0次)
Coursera ML Classes QUIZ，斯坦福大学的机器学习。测验和编程作业
Coursera-ML-Clasess-QUIZ,Machine Learning by Stanford University. Quiz and Programming assignments (2020-02-06, matlab, 29556KB, 下载0次)
斯坦福大学机器学习第3次作业 可供参考 100分
Stanford Machine Learning 3rd job for reference 100 (2016-04-12, matlab, 14896KB, 下载2次)
这是一个神经网络小程序，不一定准确，没事可以玩一玩
This neural network is a small program that is not necessarily accurate, nothing can play with (2016-01-30, Visual C++, 135KB, 下载1次)