code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# ### tuple and default operations
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tuples1 = (1,8... | tuple_and_operations.ipynb |
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from shapely import geometry
from pulp import *
im... | solarpv/analysis/matching/MILP_WRI-matching_stripped.ipynb |
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# # Here I have some useful python codes.
# Import l... | notebooks/.ipynb_checkpoints/Useful_codes-checkpoint.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | 04-Visualization-Matplotlib-Pandas/04-01-Matplotlib/Matplotlib Concepts Lecture.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clase1.ipynb |
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# # Pybot
import string
import time
import numpy as n... | NLPChatBot.ipynb |
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# .... | source/visualization/index.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/taxi_model_training.ipynb |
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# ## Basic RNNs in Tensorflow
# - 1 Layer of 5 recurre... | 1.1_Intro_RNN.ipynb |
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import glob
import json
import matplotlib.pyplot a... | data/mirex-viz.ipynb |
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# # Analysing merge sort and modified merge sort - CZ2... | lab3/modifiedMergesortAnalysis.ipynb |
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# Dependencies and Setup
# %matplotlib inline
impo... | homework.ipynb |
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# + id="Mo7sY0FSBrVU"
import numpy as np
import pandas... | Machine Learning Experiment 6.ipynb |
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# %matplotlib inline
#
# # OT for image color adaptat... | _downloads/acdb5c8d9a410d04b44379453a1620f0/plot_otda_mapping_colors_images.ipynb |
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import matplotlib.pyplot as plt
from itert... | Supervised Learning/Model Validation/Precision-Recall With Scikit Learn.ipynb |
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# # DAT210x - Programming with Python for DS
# ## Mod... | Module5/.ipynb_checkpoints/Module5 - Lab6-checkpoint.ipynb |
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# + [markdown] deletable=true editable=true
# ## Train... | Training_BigDL_Zoo/4.3-Training-InclusiveClassifier.ipynb |
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# + [markdown] id="H12ohaovEpt7"
# # Improving Remote Poverty Detection with ... | notebooks/resnetVAE-subset.ipynb |
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# # Lab 3: ... | Labs/introqcqh-lab-3/lab-3-solutions.ipynb |
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pickle_file = '/home/sulabh/Documents/work/dmgdetectio... | demo/loading pickle.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | content/materials/notebooks/2020/l02_plotting_widget_example.ipynb |
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X = np.array([2.5, 5.1... | Marks_predt.ipynb |
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from scipy.interpolate import CubicSpline, Cu... | baselines/HumDrumExperiments.ipynb |
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# %reload_ext autoreload
# %autoreload 2
from fas... | examples/cifar.ipynb |
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# # Comparison with Stata
#
# For potential users comi... | 01_comparison/comparison_with_stata.ipynb |
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import numpy as np
import scipy.stats as st
import sci... | lecture_08_optimization/optimization.ipynb |
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# # Environment setting
# move to source directory
# ... | notebook/0012-xgb-magic.ipynb |
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# ## 12) Intro to NumPy (prodounced Num-Pie), Numerica... | source/notebooks/lecture12_numpy_attributes_methods.ipynb |
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# Note: The original CelebA dataset is of 11 GB which ... | src/low level/LowLevelAlignedCelebA.ipynb |
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# # intro to matplotlib
# %matplotlib inline
import m... | intro_to_matplotlib.ipynb |
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# # The CDISC Li... | workbooks/03-The-CDISC-Library-API.ipynb |
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# # Make Predictions for Upcoming IPO
# - Retrieves up... | Notebooks/Predictor.ipynb |
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# # GEM Tutorial with COBRApy
#
# This exercise will w... | scripts/COBRApy_tutorial.ipynb |
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# + [markdown] id="1KBTLgUrzmS7"
# # For External users
#
# You can open this... | confidence_interval_display_demo.ipynb |
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# # Example: Radar processing
#
# The process... | examples/radar_processing_1.ipynb |
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import sys
sys.path.append('/opt/co... | 1_Preliminaries.ipynb |
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import sys
import requests
sys.path.insert(0, "C:... | notebooks/07 src.webservice.music.py.ipynb |
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# + id="z0B9tfzp2Wiw" executionInfo={"status": "ok", "... | tensorflow/day3/exercise/03_05_sonar_retrain.ipynb |
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# # Rabbits and Recurrence Relations
# ## ... | Bioinformatics Stronghold/LEVEL 1/FIB.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | wind_power_forecasting_final.ipynb |
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import pandas as pd
import matplotlib.... | kaggleTitanic/titanicproblem.ipynb |
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# # COSMOS master catalogue
# ##... | dmu1/dmu1_ml_COSMOS/1.4.2_HSC-UDEEP.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | 01-Introduction to Python-Basics/01-Python Crash Course.ipynb |
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# # A Big Dam Problem: Understanding the Potential Imp... | presentations/ea-python-dam-blog.ipynb |
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import sys
sys.path.append('..')
import pandas as pd
f... | notebooks/currency get strong currencies.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | image_processing_1.1.ipynb |
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values = df.Prices * df.Amount
df['Values'] = val... | content/Pandas Operations/Multiply two columns in a pandas DataFrame and add the result into a new column - TODO.ipynb |
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# <hr style="height:.9px;border:none;color:#333;backgr... | Lozano_Jessica_A1_Regression_Analysis.ipynb |
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# # Actor Critic - Syft Duet - Data Scientist 🥁
#
# C... | packages/syft/examples/duet/reinforcement_learning/Actor_Critic_Syft_Data_Scientist.ipynb |
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# # `surfs-up`
# + active=""
# {% capture ... | docs/test-index.ipynb |
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# ## An example notebook
#
# Note that due to the `ipy... | notebooks/example_notebook.ipynb |
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// # Optimisation of analytical functions
//... | junbs/optimisation_analytical_functions_ga.ipynb |
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#import necessary modules
import numpy as np
impor... | springboard_modules/5_3_5_data_wrangling_lending_club.ipynb |
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# ## Parsing and manipulating PDB files
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# Installation
# # !pip install pandas
# # !pip i... | notebooks/rec_implicit_bookcrossings.ipynb |
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# ## 1-minute introduction to Jupyter ##
#
# A Jupyter... | Assignment 7/assignment_07.ipynb |
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# <a href="https://colab... | Enviar_Email.ipynb |
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# # Data tests
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# The four dimensions are x, y, z, an... | get_data_test.ipynb |
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# # GDP Per Capita Analysis
# GDP per capita data was... | Data Analysis with Python/pandas_workshop-master/gdp_per_capita/gdp_per_capita_solutions.ipynb |
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# ## Sample 6.2 Multi-parameter Bayesian m... | sample6.2_MultiParamModel_GCpropermotion.ipynb |
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# # TASK 1
m = []
for i in range(2000,3201):
if(i... | python assignment 1 ineuron.ipynb |
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# # Statistical Measures of Performance
#
# This noteb... | measures_testing.ipynb |
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# # 간단한 모델 훈련하기
#
# 데이터셋을 수집, 정제, 포맷팅하고 훈련... | notebooks/train_simple_model.ipynb |
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#hide
from recohut.datasets import *
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from solana.rpc.api import Client
solana_client =... | notebooks/JSON RPC API.ipynb |
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import random
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import functo... | Day9ThreeProblems.ipynb |
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import htmltag as HT
import random
from htmltag import... | script/.ipynb_checkpoints/GenerateMTurkFileAPI-checkpoint.ipynb |
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# # Variational Autoencoder
#
# Variational Autoencode... | Deep Learning - Variational Autoencoder.ipynb |
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# ## Part 1: Import, Load Data.
# * ### Import librar... | ML-101 Modules/Module 03/Lesson 02/Practice 1/Gender - Practice Code Part 1&2.ipynb |
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# **Корректность проверена на Python 3.6:**
# + pandas... | SupervisedLearning/materials/notebooks/3-1.ScikitGrigSearch.ipynb |
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import numpy as np
da... | Inventory_model_data_prep.ipynb |
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# # Linear Regression
#
# In this tutorial, we are going to demon... | docs/Tutorial/LinearRegression.ipynb |
# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/contrib/set_covering3.ipynb |
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import math
while True:
try:
money_sp... | StackOverflow2.ipynb |
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# + [markdown] colab_type="text" id="NFmOh482SyEF"
# #... | assignments/assignment0_03_DL/assignment0_03_Dealing_with_overfitting.ipynb |
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sources_dir = "/Users/j... | code/2022-02-Extract-Metadata-LibM.ipynb |
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# + id="NoNMujanjNuu" colab_type="code" colab={}
#Given a map consisting of k... | src/planning/Motion_Planning_Functions.ipynb |
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# + id="_b0A-ElAnHj2" colab_type="code" colab={}
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import j... | Chapter18/Exercise18.02/Exercise18_02.ipynb |
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import pandas as pd
import matp... | Rafay notes/Samsung Course/Chapter 5/Class Work/Lecture-2-22-oct-2021/Pratice of class work.ipynb |
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# # Classification de documents
# ## Impo... | module4/s1_classification.ipynb |
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# load data
booze = pd.read_csv("... | Section 1/Video 1.5.ipynb |
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# + [markdown] id="ctyzNbUYHqWx" colab_type="text"
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# # Analysis of the Curse Log
# ## Introduction
# Wit... | Curse Log Analysis Solution.ipynb |
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# ## **NASA Analysis**
#
# This is a challenge sent by... | nasa_analysis.ipynb |
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from piquery.piq_hash64 import download_to_hash
dhash... | Untitled.ipynb |
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# ### BreastCancerClassifier
# This notebook is a show... | BreastCancerClassifier.ipynb |
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# # Python e API com Login
#
# ### O 1º Passo de toda ... | sms-login.ipynb |
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# # Model improvement
#
# In this iteration dive deepe... | notebooks/Model_Improvement.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# THis is pytorch tutorial.
from __future__ import... | content/learning_curves/machine_learning/.ipynb_checkpoints/pytorch_starting_tutorial-checkpoint.ipynb |