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'''Visualization of the filters of VGG16, via grad... | Activate Neuron.ipynb |
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# + colab={} colab_type="code" id="yGDhjuq-hfDH"
impor... | Preprocessing/Features Selection/NewDataSet/Tree_based_feature_selection.ipynb |
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# # Flag of China
# %matplotlib notebook
import matp... | src/Flag_of_China.ipynb |
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import sys
sys.path.append('../')
from maskmoment impo... | example/N4047_examples.ipynb |
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pip install PrettyTable
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import json
from... | DataBaseSearch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Matrix_and_its_Operations.ipynb |
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# Dependencies and Setup
import pandas as pd
# Fi... | Heroes of Pymoli Revised.ipynb |
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# # Building our operators: the Face Divergence
# The... | 1608_Finite_volume/divergence.ipynb |
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import math
import numpy as np
import copy
import iter... | deepspeed/amp/pipeline_dp.ipynb |
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from ipywidgets import *
import nglview as nv
import ... | nglview/tests/notebooks/extra/component_viewer.ipynb |
# -*- coding: utf-8 -*-
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# ## Condensate growth in ... | examples/condensate growth.ipynb |
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# + [markdown] id="skzB79nE-Dco"
# # Colab-pytorch-ima... | 7_EfficientNet.ipynb |
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# HIDDEN
from datascience import *
# %matplotlib inlin... | lec/lec25.ipynb |
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##import files
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import pandas as pd
import... | Note_books/Explore_Models/.ipynb_checkpoints/Model3_badv1_Leung_v1-checkpoint.ipynb |
# # Select fourth-order FOT in the parameter space of transversely isotropic FOT
import numpy as np
import sympy as sp
import vofotensors as vot
from vofotensors.abc import alpha1, rho1
import pandas as pd
# Create data
alphas = np.linspace(-1.0 / 3.0, 2.0 / 3.0, 10)
rho_top = alphas / 56.0 + 1.0 / 60.0
rho_bottom = ... | docs/source/notebooks/03.ipynb |
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# # Import libraries
# %%time
from beem.account import Account
from beem.com... | CodeTesting.ipynb |
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import package1
from package1 import package1_func... | test/notebooks/functions.ipynb |
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# # Download sample
#
# Download **PDF articles** for ... | notebooks/xx-download_sample.ipynb |
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# + id="L_ZC0NdCiFHd"
import pandas as pd
import numpy... | H20 ML Notebooks/Network Analysis/Network_Analysis_Indonesian_Food_Ingredients.ipynb |
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# <a href="https://colab.research.google.com/github/ad... | seminar4/seminar_SVM_solutions.ipynb |
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# This notebook reproduces the spectrum plots in
... | ExamplesAndTests/Test_Plots_1811.06844.ipynb |
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def get_parent_idx(self, idx):
return idx // 2... | 01.Algorithm/max_heap.ipynb |
# -*- coding: utf-8 -*-
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HTML("$styl")
# # Chapter... | Chp02/Chp02.ipynb |
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import pandas as pd
import patsy as pt
import numpy as... | 6_acquisition_function.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | wineRec_FM.ipynb |
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# # Assignment 2 - Evapotranspiration
#
# - toc: false... | _notebooks/2020-02-03-assignment-02-ET.ipynb |
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# # K- Means Clustering
# by *<NAME>*
# ## Importing... | Task-3.ipynb |
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# # Scikit learn, supervised learning, part 1
# +
imp... | lecture2/Sklearn_supervised_1.ipynb |
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# <h1>Boston Using Neural</h1>
# <h6><NAME>ari</h6>
# ... | Basic Projects/Boston Using Neural.ipynb |
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import sys
sys.path.inse... | notebooks/expectativas IPCA anual.ipynb |
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# + id="bs5dRVOjZ6pT" colab={"base_uri": "https://localhost:8080/", "height":... | assets/EMSE6574/Week3_Assignment.ipynb |
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# + [markdown] colab_type="text" id="xu2SVpFJjmJr"
# #... | tensorflow/examples/tutorials/deepdream/deepdream.ipynb |
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from cast.forms import PostForm
fo... | notebooks/chaptermarks.ipynb |
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import numpy as np
import pandas as pd
from pa... | l5/Lecture 25 - Reading and Writing Text Files.ipynb |
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# import pyspark class Row from module sql
from py... | ETL-Examples/src/main/python/pyspark-sql-examples/dataframe-operations.ipynb |
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# # Logistic Regression
#
# ## From Regression to Clas... | 0206_LogisticRegression.ipynb |
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n = input("Digite algo:")
print('O tipo digitado é uma... | .ipynb_checkpoints/EX004 - Dissecando uma Variável -checkpoint.ipynb |
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# cd ..
import os
import re
import pandas as pd
impor... | notebooks/03_Rentals.ipynb |
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# Imports:
import pandas as pd
import geopandas as gpd... | Final-Code/Merged-Code-Farah.ipynb |
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import os
import sys
import time
import matplotli... | Drawing/OldDrawing/LineTypes-Copy3.ipynb |
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# + [markdown] id="iEL0LqOvNctE"
# # In this tutorial we will build basic CNN... | HW4/CNN_POST_BN.ipynb |
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# ## Traverse a tree (depth first search)
#
# Traversi... | trees/.ipynb_checkpoints/traverse_a_tree_dfs-checkpoint.ipynb |
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import pickle
from sklearn.model_selection import ... | .ipynb_checkpoints/feature_regress-checkpoint.ipynb |
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import tensorflow as tf
tf.config.experime... | OPC_Sensor/.ipynb_checkpoints/CNN_tanh_binary-checkpoint.ipynb |
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# Python program to find the area of t... | lesson 16.ipynb |
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import csv
from operator import add
global Path
Pa... | Quiz_106598005/Quiz_2.ipynb |
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# <small>
# Copyright (c) 2017 <NAME>
#
# Permission i... | Chapter15-Scikit-Learn/Scikit-Learn-Notebook-5-Ensembles.ipynb |
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# # Available questions
# ## A note on types
#
# - `j... | notebooks/available-questions.ipynb |
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# # Using letters as shapes
# +
import pandas as pd
... | plotnine_examples/tutorials/miscellaneous-using-letter-as-shapes.ipynb |
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#source:https://github.com/dwavesystems/dwave-hybr... | Dwave/dwave_hybrid_max_clique.ipynb |
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# + [markdown] colab_type="text" id="0zAbYvv-WCve"
# #... | Breast_Cancer_Dataset_PCA.ipynb |
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# ref: https://www.kaggle.com/hamishdickson/bidirectio... | jamo_glove.ipynb |
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import warnings
warnings.filterwarnings('ignore')
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# ### 处理 txt 文件
file = 'file.txt'
f = open(file, 'r')... | Learning python/2. 数据类型/6. 文件.ipynb |
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# + nbsphinx="hidden"
import open3d as o3d
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# # Using Microsoft Excel, Pandas, Matplotlib, and Mic... | Week 15/Week15-Extra_Credit.ipynb |
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# <h2 align='center'>Phase Change Material</h2>
# Imp... | notebooks/pcm.ipynb |
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# <b>Calcule a integral dada</b>
# $12. \int 3t\sqrt{... | Problemas 5.2/12.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2020_Python_Programming_Practical_2.ipynb |
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# # CVPR2021 NAS竞赛Track 1第2名方案
# (队伍名称:ANS - 榜单名次:2 - ... | NAS/cvpr21_nas_track1/Track1_Submit/README.ipynb |
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# + [markdown] id="Q5-Qj7-GJyXj"
# #**Kalman Filter For Moving Object**
# + ... | KFMO.ipynb |
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# + [markdown] id="tXz5afYnv0Ax"
# ## IAI5101 Project - Group 3
# + id="OmD9... | IAI5101_Group3_Project.ipynb |
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# # Decision tree in depth
#
# In this notebook, we will go into details on the internal algorithm used to
# build the decision tree. First, we will focus on the decision tree used for
# classification. Then, we will highlight the fundamental difference between
# decision tree used in classification and in regression. ... | rendered_notebooks/trees.ipynb |
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import urllib
from bs4 import BeautifulSoup
import pan... | sc-network-judgments/Topic Modelling of Judgments.ipynb |
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import ran... | HappyTimes/ValentineDay/GiveHeartPit2Love.ipynb |
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# # Instructions
#
# You're going to practice working ... | 02_pandas_practice_1.ipynb |
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# # Kili Tutorial: Importing assets
#
# In this tutori... | recipes/import_assets.ipynb |
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import cv2
import pyrealsense2
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# + [markdown] deletable=false nbgrader={"checksum": "... | assignments/release/Basics/D1-exercises.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | Bronze/classical-systems/CS20_Probabilistic_Operators_Solutions.ipynb |
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# Word tokenize
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# # Overview
# The main point of this script which is ... | signal_processing/timbral_inspection/timbre_demo.ipynb |
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# hide
_FNAM... | nbs/constraints.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | estudos_python/Machine_Learning/Others/3. ST Academy - Decision Trees resource files/Python Code/regression_tree.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 2: S... | code/chap02mine.ipynb |
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# + [markdown] id="Zr5YJ5xSZqis"
# # Email Classification
# + [markdown] id=... | _notebooks/2022-01-02-email-classification.ipynb |
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# + [markdown] _execution_state="idle" _cell_guid="bef... | titanic/beginner-tutorial-using-votingclassifier-82-27.ipynb |
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# # CASE STUDY 7B: Sentiment Analysis of Text Documents
# <img src="ht... | Case_Study_7B.ipynb |
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im... | notebooks/exploratory/blowUpDiagnosis.ipynb |
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# # PASCAL Context - Light-Weight Refinenet
#
# ## 59 ... | examples/notebooks/Context.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="1NWFlHbpcOYS" execution... | Grid Search/SVC.ipynb |
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#default_exp ingest
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# + [markdown] tags=[]
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# Common external libraries
import pandas as pd
i... | CERGAS/Notebooks/Italy_mortality_rates_correlations-Geo.ipynb |