isSeymour

CS224W - Colab 0 Colab 0 will not be graded, so you don’t need to hand in this notebook. That said, we highly recommend you to run this notebook, so you can get familiar with the basic concepts of graph mining and Graph Neural Networks. In this Colab, we will introduce two packages, NetworkX and PyTorch Geometric. For the PyTorch Geometric section, you don’t need to understand all the details already. Concepts and implementations of graph neural network will be covered in future lectures and Col ...

Node2Vec 官方代码解读 参考资料 Node2Vec 官方作者 Aditya Grover 代码：https://github.com/aditya-grover/node2vec 1. 环境准备 工具包 1234567891011import warningswarnings.filterwarnings('ignore')import argparseimport numpy as npimport networkx as nx from gensim.models import Word2Vecimport randomimport matplotlib.pyplot as plt %matplotlib inline 读入命令行参数 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950def parse_args(): ''' Parses the node2vec argume ...

Node2Vec 图嵌入: 《悲惨世界》人物关系 参考资料： Elior Cohen 代码：https://github.com/eliorc/node2vec Elior Cohen 博客：https://maelfabien.github.io/machinelearning/graph_5/ 1. 环境准备 安装工具包 1!pip install node2vec networkx numpy matplotlib 导入工具包 123456789101112# 图数据挖掘import networkx as nx# 数据分析import numpy as np# 随机数import random# 数据可视化import matplotlib.pyplot as plt 2. 数据 初始化 12345# 空手道俱乐部# G = nx.karate_club_graph()# 悲惨世界 人物G = nx.les_miserables_graph() 1G.nodes NodeView(('Napoleon', 'Myriel', 'MlleBaptistine', 'MmeMa ...

DeepWalk 图嵌入：维基百科词条 1. 环境参考 参考资料 https://github.com/prateekjoshi565/DeepWalk 安装工具包 1!pip install networkx gensim pandas numpy tqdm scikit-learn matplotlib 导入工具包 123456789101112131415# 图数据挖掘import networkx as nx# 数据分析import pandas as pdimport numpy as np# 随机数与进度条import randomfrom tqdm import tqdm# 数据可视化import matplotlib.pyplot as plt%matplotlib inline 2. 数据 获取数据 爬虫网站：https://densitydesign.github.io/strumentalia-seealsology/ 设置 distance 输入链接： https://en.wikipedia.org/wiki/Computer_vision htt ...

Homework 5 - Sequence-to-sequence If you have any questions, feel free to email us at: ntu-ml-2021spring-ta@googlegroups.com (4/21 Updates) Link to reference training curves. (4/14 Updates) Link to tutorial video part 1 part 2. Now defaults to load "avg_last_5_checkpoint.pt" to generate prediction. Expected run time on Colab with Tesla T4 Baseline Details Total Time Simple 2m 15s $\times$30 epochs 1hr 8m Medium 4m $\times$30 epochs 2hr Strong 8m $\times$30 epochs (backwa ...

HW4: Speaker Prediction goal: learn to use transformer 赛事：https://www.kaggle.com/competitions/ml2021spring-hw4/overview Baselines: Easy: Run sample code and know how to use transformer. Medium: Know how to adjust parameters of transformer. Hard: Construct conformer which is a variety of transformer. Other links Kaggle: link Slide: link Data: link Video (Chinese): link Video (English): link Solution for downloading dataset fail.: link 1. Data Dataset 12345678910111213141516171819202 ...

HW3 : Convolutional Nueral Network In this homework, you are required to build a convolutional neural network for image classification, possibly with some advanced training tips. There are three levels here: Easy: Build a simple convolutional neural network as the baseline. (2 pts) Medium: Design a better architecture or adopt different data augmentations to improve the performance. (2 pts) Hard: Utilize provided unlabeled data to obtain better results. (2 pts) https://www.kaggle.com/competitio ...

HW2: Phoneme Classification Platform : Kaggle Sample Code : Google Colab 0. Prepare TIMIT This homework is a multiclass classification task, we are going to train a deep neural network classifier to predict the phonemes for each frame from the speech corpus TIMIT. Google Colab 下载：（或官网下载也行） 123!gdown --id '1HPkcmQmFGu-3OknddKIa5dNDsR05lIQR' --output data.zip!unzip data.zip!ls zsh:1: command not found: gdown unzip: cannot find or open data.zip, data.zip.zip or data.zip.ZIP. HW02.pdf ...

HW1: COVID-19 Cases Prediction (Regression) Platform : Kaggle Sample Code : Google Colab Objectives: Solve a regression problem with deep neural network. (DNN) Understand basic DNN training tips. Get familiar with PyTorch. 0. Prepare 12import warningswarnings.filterwarnings('ignore') 预览数据 12tr_path = 'input/covid.train.csv'tt_path = 'input/covid.test.csv' 123456# 预览数据import pandas as pddata = pd.read_csv(tr_path)print("Shape:",data.shape)data.iloc[:,4 ...

来源：Kaggle 官方课程 Intro to Deep Learning 2024-09-01@isSeymour Intro to Deep Learning Exercise: Binary Classification 1.导入数据 123456789101112import pandas as pdimport matplotlib.pyplot as pltfrom sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScaler, OneHotEncoderfrom sklearn.impute import SimpleImputerfrom sklearn.pipeline import make_pipelinefrom sklearn.compose import make_column_transformerhotel = pd.read_csv('../input/hotel.csv')print(" ...