code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import numpy as np
import pandas as pd
import matplo... | .ipynb_checkpoints/Part 1 - Data Visualization-checkpoint.ipynb |
# # 14.7. Creating a route planner for a road network
import io
import zipfile
import requests
import networkx as nx
import numpy as np
import pandas as pd
import json
import smopy
import matplotlib.pyplot as plt
# %matplotlib inline
url = ('https://github.com/ipython-books/'
'cookbook-2nd-data/blob/master/'
... | chapter14_graphgeo/07_gps.ipynb |
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import os
import numpy as np
import numba
import numba... | notebooks/pysundials-demo-sens-analytical.ipynb |
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import panel as pn
pn.extension('terminal')
# When developing applications that are to be used by multiple users and which may process a lot ... | examples/user_guide/Performance_and_Debugging.ipynb |
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# # Timetable
# **09:15 - 09:30** $\quad$ Update mat... | 05-functions.ipynb |
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# # Benchmark Algo on a simple problem
# Minimizing th... | benchmark/benchmark_sinus2D.ipynb |
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# # Restricted spectral approximation experiment (Sect... | examples/experiment_approximation.ipynb |
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# + [markdown] id="eXlW6p2OSnNe" colab_type="text"
# ## ML Challenges
#
# Thi... | 01_need_for_design_patterns/ml_challenges.ipynb |
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# ## Multiple Linear Regression Model
import matplotl... | Sem4/DataAnalytics/DA Lab - students copy/Regression/LR-Housing.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | GDP_Dataset_model.ipynb |
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# # Testing cosmogan
# Aug 25, 2020
#
# Borrowing pieces of ... | code/1_basic_GAN/1_main_code/DDP_new_loss/working_DDP_without_additional_losses/oldway_sc2020script/train_DDP_new_loss_.ipynb |
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# ## Face and Facial Keypoint detection
#
# After you'... | 3. Facial Keypoint Detection, Complete Pipeline.ipynb |
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# ## 达观杯2021
# +
import pandas as pd
from sklearn.mod... | src/official_baseline/baseline.ipynb |
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# + microsoft={"language": "python"}
# %%pyspark
activity = sp... | SynapseCode/notebooks/apple_health.ipynb |
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# This cell is added by sphinx-gallery
# It can be cus... | wip/98_quantum/99_tutorial_plugins_hybrid.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} exec... | _source/raw/amazonmusic.ipynb |
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import matplotlib.pyplot as plt
import cv2... | predict.ipynb |
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# default_exp simulations
# -
# # module name her... | 01_simulations.ipynb |
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# # K Means Clustering
# **Project to use K Means Clus... | .ipynb_checkpoints/02 - KMeans Clustering (College Data)-checkpoint.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Travel... | ch4/tsp-genetic-algorithms.ipynb |
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# + deletable=true editable=true
#matrix math
import n... | k-means.ipynb |
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# + [mark... | notebook/Transform_Flat_File.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Esqueleto_Departamento_de_Ventas.ipynb |
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# + [markdown] papermill={} tags=[]
# # Python - Loopi... | Python/Python_Looping_Over_Dataframe.ipynb |
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from sklearn.datasets import load_iris... | hypergbm/examples/misc/pseudo_labeling.ipynb |
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# name: python383jvsc74a57bd0449a6a5da217c2d6cffa80a6a7a4724... | _notebooks/2021-04-24-release-v04.ipynb |
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import os
import re
imp... | ecommerce_emails/data_fixer.ipynb |
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from IPython.core.display import display, HTML
disp... | Lecture 4 TD Learning.ipynb |
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# # List Comprehensions
#
# # 列表解析
# > If you read en... | 11-List-Comprehensions.ipynb |
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import numpy as np
import sqlalchemy
from sqlalch... | .ipynb_checkpoints/app.py-checkpoint.ipynb |
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# # <center/>转换数据集为MindRecord
# ## 概述
... | tutorials/notebook/convert_dataset_to_mindrecord/mindspore_convert_dataset_to_mindrecord.ipynb |
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# [source](../api/alibi_det... | doc/source/methods/mahalanobis.ipynb |
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# # SOM Training on RGB Colors Dataset
#
# +
import t... | nbs/colors.ipynb |
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# %reload_ext autoreload
# %autoreload 2
import n... | DN/Untitled1.ipynb |
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impor... | notebooks/horovod-local.ipynb |
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# # 2. 第二章 - 如何训练一个神经网络（简单版）
#
# 目录：
#
# 第一部分 神经网络
# ... | python/jittor/notebook/60分钟快速入门Jittor/计图入门教程 2 --- 如何训练一个简单线性回归.ipynb |
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# # Part 1
# Import packages for dataframe manipulati... | analysis/Homework 1 analysis.ipynb |
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# + id="JPFeXztkPQfa" colab_type="code" colab={"base_uri": "https://localhost... | day2_visualisation.ipynb |
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"""
2520 is the smallest number that can be divide... | Project_Euler-Problem_5.ipynb |
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# hash: 0e0d1c7ef0f381ce9c31735005e25185fd13b9c5... | results.ipynb |
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import numpy as np
import h5py
import json
import sys
... | JpytrNb/pdfPlot/.ipynb_checkpoints/BH_Edot-checkpoint.ipynb |
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# # Libraries
# 1. [filterpy](https://filterpy.readthedocs.... | Research/GoogleSmartPhone/code/.ipynb_checkpoints/GSDC4_ComplexKalmanFilter-checkpoint.ipynb |
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# ## Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-... | Model backlog/Train/23-tweet-train-distilbert-base-lbl-smoothing.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | examples/model_HH.ipynb |
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import requests
while True:
city = input("请输入城市，按回车键:\n")
if not city:
break
try:
req = requests.get("http://wthr... | get_weather.ipynb |
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# Control Tesla Cars
#
# Test setting temp based on l... | posts/testtesla.ipynb |
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# Links zu Dokumentationen/Tutorials für IPython/Pytho... | ueb4/ex16.ipynb |
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import sys, os, time
import numpy as np
from tqdm impo... | reformat_aristo.ipynb |
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import math
import gluonnlp as nlp
import mxnet a... | .ipynb_checkpoints/Untitled-checkpoint.ipynb |
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import pandas as pd
import numpy as np
Market_exp_df ... | CreateFactorPortfolios.ipynb |
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# # _Common statistical tests are linear models_: Pyth... | tests-as-linear.ipynb |
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# # Welcome to gdsfactory tutorial
# ## R... | docs/notebooks/_template.ipynb |
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# <img src="./images/DLI_Header.png">
# ## Scaling Le... | Lab 3/02_Notebook_Exercising_Optimization_Strategies.ipynb |
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# + [markdown] chapterId="By3zOAX-ebM" id="chapter_nam... | notebooks/ShinsouGakushu_sample/Chapter17_Sample.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | 2_1_a_first_look_at_a_neural_network_colab.ipynb |
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#
# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d1... | using cnn detect pulmonary disease in xray_varia ptb.ipynb |
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# #... | DeepLabCut/Deeplabcut Tutorial/Deeplabcut_tutorial.ipynb |
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# # Image Generation
# In this notebook we will contin... | assignment3/ImageGeneration.ipynb |
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# # Bayesian fixed effects meta analysis for WQC and B... | bayesian meta analysis WCQ.ipynb |
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import numpy as np
import plotly.offline as pyo
import... | 3.2-whs-LineCharts.ipynb |
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# + pycharm={"name": "#%%\n"}
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base_path = o... | docs/source/notebooks/potential-wall.ipynb |
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from arc import *
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# This notebook demonstrates how to use the rms simula... | ipython/simulator_adapter_examples/rms_simulator.ipynb |
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# <br>
# # Painters... | painters-identification/notebooks/capstone-models-final-model-building.ipynb |
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# + id="04dC_NGgzmcf" colab_type="code" colab={}
from IPython.display import ... | colab-terminal.ipynb |
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from urllib.request import urlopen
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# # Xarray-spatial
# ### User Guide: Surface tools
# -----
# With the Surface tools, you can quantify and visualize a terrain landform represe... | examples/user_guide/1_Surface.ipynb |
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# # SageMaker で scikit-learn コンテナを使った学習・推論を... | supported_frameworks/scikit_learn_iris/scikit_learn_iris.ipynb |
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# + id="ZmvoPsz11NKI"
import numpy as np
import pandas as pd
from scipy.stats... | Network Intrusion Detection using Deep Learning/NetworkIntrusionDetection.ipynb |
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# # 02: Numbers and Strings Exercises
#
# These exerci... | 02 Numbers and Strings/02_Exercises.ipynb |
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# # Dictionaries
import unittest
# Create a functio... | dictionaries/dictionaries_solutions.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | (LA) Midterm_Exam.ipynb |
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# I look at the formal uncertainty of the ... | progs/error-distribution-of-coordinate-time-series.ipynb |
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# # Lab 10
# 1. item 1
# 2. item 2
# 3. it... | Lab 10.ipynb |
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# + [markdown] id="2VRipkaPZSvM"
# **Setup PySpark**
# + id="8JdYdFWfZTiS" c... | google-colab-analysis/nyc-crime-data-analysis-five-years.ipynb |
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# # **K-Mean Clustering**
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import sagemaker
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# Different success indexes' calculation for... | Classification Algorithms/Classification Algorithms.ipynb |
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from thermo import *
from thermo.identifiers impor... | scifinder-anions/.ipynb_checkpoints/Compare db anions-checkpoint.ipynb |
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# + id="uRLPr0TnIAHO"
BRANCH = 'v1.0.0b2'
# + id="o_0... | tutorials/nlp/Question_Answering_Squad.ipynb |
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# Challenge Part 1: Get weather description and pr... | Weather_Database.ipynb |
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# #### This notebook analyses the vis... | WCVI_viscosity_analysis.ipynb |
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import matplotlib as mpl
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# + [markdown] tags=[]
# # Basic FULMAR usage. Using K2... | docs/source/example_K2-109.ipynb |
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# # Application Example
# ### Step 1: Load basic pyth... | notebooks/Module 6.ipynb |
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# <table align="left">
# <td>
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# + [markdown] id="W1McFcDOVx-a"
# Imports
# + id="SpFE0ICxUZjy"
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# <h1> Preprocessing using Dataflow </h1>
#
# This not... | courses/machine_learning/deepdive/06_structured/labs/4_preproc.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_10_5_temporal_cnn.ipynb |
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# ## Entities Recognition
#
# Trained on 80% of datase... | accuracy/models-accuracy.ipynb |
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# !pip install confluent_kafka
from confluent_kafka.a... | sss_firealarm/datagen/smoke_sensor_simulator.ipynb |
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# + [markdown] id="X9AC3_xOAzzZ" colab_type="text"
# Mount the drive
# + id... | Mohammad Hasnain Rajan/ferdnncp.ipynb |
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# %pylab inline
from IPython.display import display, M... | final_project/Alberto_Presta_project.py.ipynb |
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# # Getting started with MaterialsCoord
#
# This noteb... | examples/introduction-to-MaterialsCoord.ipynb |
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with open('./my_key.key', 'r') as f:
api_key = nex... | forecast/weather_data/testing_worldweather_online_api.ipynb |
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from astropy.table import Table
import numpy as n... | notebooks/Angular_scale_fix_comparisons.ipynb |