code stringlengths 38 801k | repo_path stringlengths 6 263 |
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from ctypes.util import find_library
import ctypes
find_libra... | UncoventionalData.ipynb |
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# # Instructions
#
# Implement multi output cross entr... | resources/whales/tasks/task5.ipynb |
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# # Criminology in Portugal (2011)
#
# ## Introduction... | criminology-portugal/Criminology in Portugal - 2011.ipynb |
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# load libraries
import networkx as nx
import random
i... | PageRank.ipynb |
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# # **ESG - Post Medium**
#
# ***
# ## Growth in searc... | ESG-Post_Medium.ipynb |
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# + [markdown] tags=[]
# # Using CellTypist for cell t... | docs/notebook/celltypist_tutorial.ipynb |
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# # Inferring cosmology power spectrum parameters from... | examples/2d_field_inference.ipynb |
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# # Demo - LISA Horizon Distance
# This de... | docs/demos/HorizonDistance.ipynb |
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# ## Recipe Builder Actions Overview
#
# ### Saving a ... | Summit/2019/resources/Notebooks-Wed/recommendations-popularity-recipe-generic.ipynb |
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# # Forest Fires : Prediction of Forest Fi... | Rishabh_Singhal_16NA10019.ipynb |
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# # Table of Contents
# 1. [Introduction](#introductio... | Scripts/Script1 Data Download.ipynb |
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# %load_ext autoreload
# %autoreload 2
fr... | Benchmark_UCR.ipynb |
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import sys
import os.path
sys.path.insert(1, r'H:\... | scripts/timer.ipynb |
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import pandas as pd
import networkx as nx
import math
... | RWHNDR method/scripts/construct_disease_disease_network.ipynb |
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# !pip install git+https://github.com/v3io/v3io-gputil... | demos/gpu-demos/image-classification-horovod/02-training-with-horovod-cats-n-dogs.ipynb |
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# # This is a research notebook to try to find cor... | hyperwave_find_phases.ipynb |
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# Copyright 2010 <NAME> <EMAIL>
#
# 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 wr... | examples/notebook/contrib/discrete_tomography.ipynb |
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# # Using Monte-Carlo Method to Compute $\pi$ #
#
# On... | Compute_pi_MonteCarlo.ipynb |
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# + id="HFBqlpldEMZT" colab_type="code" outputId="3ec79934-3b3b-4469-ef47-90e... | task2_adr/ADR_task_modeling.ipynb |
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# + [markdown] colab_type="text"
# This is a companion... | chapter03_introduction-to-keras-and-tf.ipynb |
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# <small><small><i>
# All the IPython Notebooks in thi... | 002_Python_String_Methods/025_Python_String_lower().ipynb |
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# > **How to run this notebook (command-line)?**
# 1. ... | notebooks/Automated_Curriculum_Learning_Demo.ipynb |
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# # Model predictive speed and steering contro... | PathTracking/model_predictive_speed_and_steer_control/notebook.ipynb |
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# 自动计算cell的计算... | ch14.ipynb |
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#Load libraries
import warnings
warnings.filterwarning... | notebooks/Dataset D - Contraceptive Method Choice/EDA and Data Split Dataset D.ipynb |
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# # The Sparks Foundation - GRIP - Data Sc... | The Sparks Foundation Task 1.ipynb |
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# # Identify fraud from Eron Email
# ## Context
#
# ... | final_project/Identify Fraud from Eron Email.ipynb |
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# ### Spiral Traverse
# Write a function that takes in... | 2D-arrays/spiral_traverse.ipynb |
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# Maj 2015, <NAME> in <NAME>
# +
# Uvozimo potrebne m... | pypinm-master/vprasanja za razmislek/Vaja 11 - polovica.ipynb |
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# + [markdown] id="aZ1lg-rIZJak"
# #0. Default Setting
# + [markdown] id="uJ... | Newsdata_summarybot.ipynb |
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# <h3 style='color:pink'>Exercise: GPU perform... | Python Tutorial Tensorflow/8_Exercise.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <ce... | ADSP_04_LloydMax.ipynb |
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# # Solver Benchmark - Finding All Solutions
#
... | Solver_Enumeration_Benchmark.ipynb |
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import numpy as np
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# # Spampinato mice retina mea252ch pair recording - 1... | posts/spampinato-mice-retina-mea252ch-pair-recording-part1.ipynb |
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i... | ocr_model.ipynb |
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import os
import sys
import logging
from IPython.d... | examples/basic2_contact_frames.ipynb |
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# + [markdown] id="6cq... | notebooks/11-8.gru_sentiment_classifier.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | sorting_searching/quick_sort/quick_sort_solution.ipynb |
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# ## ERDDAP Moonflower Da... | swbell/ThingSpeak_Wx/MoonFlowerPlots.ipynb |
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# ### Fitting a Bernoulli mixture model with known num... | .ipynb_checkpoints/EM_for_BMM-checkpoint.ipynb |
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# ## AmExpert 2021 – Machine Learning Hackathon
# + [... | Hackathon - American Express - Final.ipynb |
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# # 012
#
#
# H 行 W 列のマス目があり、上から i 行目・左から j 列目のマスを (i,... | 012_problem.ipynb |
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# ## 1.0 Import Function
# !pip install yfinance
# ... | Obsoletos II/FA example2 - bolsa.ipynb |
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# # Working with Probability Distributions... | Notebooks/UserDistributions.ipynb |
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##############################... | plotting-routines/single-vs-di-Higgs.ipynb |
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# # CODE TO PERFORM SIMPLE LINEAR REGRESSION ON FUEL... | Machine Learning/1) Regression(all reg course)/1.Simple Linear Regression/Simple Linear Regression - Fuel Consumption Project Questions.ipynb |
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# # Improving Registration via Registratio... | Python/67_Registration_Semiautomatic_Homework.ipynb |
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import time
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import ... | LanguageModel/anna/anna.ipynb |
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# [![Open In Colab](https://colab.research.google.com/... | latent_variable_models_part_2.ipynb |
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# + [markdown] id="BjOWQM_KATxd"
# **What Does The Data Reveal About Dating? ... | jupyter notebook dighum100 week 2.ipynb |
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# + [markdown] id="Jt1IHW8KJJmf"
# #Libreries import
# + id="HXCjXrtz19MK" e... | feature_extraction.ipynb |
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# # 2nd Order Optimization
#
# ## Newtons Method
#
# ... | Labs/Resources/NewtonsMethod/newtons_method_optimization.ipynb |
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# %matplotlib inline
#
# # Gromov-Wasserstein example... | _downloads/705e002e8bade030ed468515173797f7/plot_gromov.ipynb |
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# + [markdown] id="2JXWocLnz38N"
# You might need to i... | raw/kEffNet/CIFAR-10/JP30B27_Baseline_kEffNet_kType_2_and_13.ipynb |
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import numpy as np
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# <a href="https://csdms.colorado.edu/wiki/ESPIn2020">... | lessons/python/ESPIN-05 Models Part 1 (Diffusion).ipynb |
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# #! pip install datadotworl... | matrix_one/matrix_day3.ipynb |
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# https://stackoverflow.com/questions/11874767/real-ti... | matplotlib/Real time plotting 2-11-2017.ipynb |
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# <center><em>... | 9.7 Filtering Outliers.ipynb |
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class Solution(object):
def isAnagram(self, s, t):... | algorithms/242-Valid-Anagram.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | FisherInformation.ipynb |
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# + [markdown] id="Yt_A6nW4nnWl"
# ## Neural networks models: practicals
#
# ... | lab_day2/day2_code04d_neural_networks_exercise [SOLVED].ipynb |
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from utils import *
cachor... | 02_PYTHON/week08/lab/clases_mascotas.ipynb |
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# %matplotlib inline
# +
import numpy as np
import pa... | regression_models/Regression Models Demos.ipynb |
# +
# Based on
# https://github.com/tensorflow/docs/blob/master/site/en/tutorials/keras/basic_classification.ipynb
# (MIT License)
from __future__ import absolute_import, division, print_function
try:
from tensorflow import keras
except:
# %pip install tensorflow
from tensorflow import keras
import tens... | notebooks/book1/01/cifar_viz_tf.ipynb |
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# name: python3810jvsc74a57bd021d0... | Lab01v3.ipynb |
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# + [markdown] id="z_oecfGdOnZi"
# Program... | 03-fundamentos-programacion.ipynb |
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# # FASHION CLASS CLASSIFICATION
# ## 1. DATA IMPORT... | Fashion_Class_Classification.ipynb |
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# # I... | present/dejan_prez_update2.ipynb |
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import numpy as np
import os
from tqdm import tqdm_not... | data_prep/LUNA_mean_std.ipynb |
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# + [markdown] id="7oJF8jEXZP5v"
# ### Molecule solubility prediction with ba... | Pytorch/Molecule_Solubility.ipynb |
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# # Datatypes
# *How do we represent everyday data in ... | 19T2/2_review/datatypes.ipynb |
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# # CUDA UFuncs and memory management
#
# In this note... | session-1/exercises/cuda-ufuncs-and-memory-management.ipynb |
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# # Part 2 - Plotting element cross sectio... | tasks/task_01_cross_sections/2_element_xs_plot.ipynb |
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# + [markdown] papermill={"duration": 0.01... | spec-api-r/README.ipynb |
# + [markdown] slideshow={"slide_type": "slide"}
# ## Interactie in Elm
# + [markdown] slideshow={"slide_type": "slide"}
# Een functioneel programma heeft geen "toestand", hoe kun je dan interactie beschrijven?
#
# -> splitsen in *functionele onderdelen* en de rest: toestand (memory) en i/o
#
# + [markdown] slideshow... | presentaties/.ipynb_checkpoints/5-interactie-checkpoint.ipynb |
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from gurobipy import * # import the optimize solver G... | assets/python/Ex2[Handbags]_s.ipynb |
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# +
import numpy as np
import os
import pickle
import ... | unsupervised ml/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_In_Python.ipynb |
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import numpy as np
import pandas as pd... | Predator Free Port Hills - Data Exploration and Cleanup.ipynb |
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# %matplotlib inline
#
# 사용자 정의 Dataset, Dataloader, ... | docs/_downloads/f498e3bcd9b6159ecfb1a07d6551287d/data_loading_tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pandas.ipynb |
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# # 解压训练/测试样本和标签文件
# +
import os
import gzip
mnist_d... | code/2.HelloWorld/hello_world.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="O-82JAxpWHys" outputId=... | notebooks/5_3_triplet_loss_dolphin_resnet_aug.ipynb |
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# # Unit 8: Hybrid Recommender Model using both Collab... | notebooks/solutions/8_s_hybrid_fm.ipynb |
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# %load_ext autoreload
# %autoreload 2
# !cd `pwd`
... | legacy/notebooks/splitPdf.ipynb |
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# # Load the data into pandas and do some analysis
#I... | features/Explore the data.ipynb |
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# + [markdown] id="brGRB_MqrA2O"
# ###In this notebook, I have implemented BE... | Approach_2_Deep_Learning_BERT.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | docs/notebooks/EventTimeline.ipynb |
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# # "Hello PySpark!"
#
# > Get up and running fast wit... | _notebooks/2021-06-22-hello-pyspark.ipynb |
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# + [markdown] deletable=true editable=true
# #... | jupyter/.ipynb_checkpoints/Gas_Network_Optimization.jupyter-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | edx-stochastic-data-analysis/downloaded_files/06_1/06/009x_63.ipynb |
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# # Advanced Python Concepts
#
# In this tutorial, a f... | advanced-python/11AdvancedPython.ipynb |
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# ## Importing required libraries for creating graph object
# +
f... | py-src/community_detect.ipynb |
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# ### Code for running scatterbrain
# * this part focusing on cleaning data ... | Scatterbrain Run 2.ipynb |
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# # Multi-Armed Bandits
# Suppose you are at your fav... | Machine Learning/Multiarm bandits/eps_bandits.ipynb |
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# # TITANIC SOLUTION
#
# ### A BEGINNER'S GUIDE
# ## ... | Titanic: Machine Learning from Disaster/Titanic.ipynb |
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# # Diffusion of ions across a membrane
# In this note... | Ion diffusion.ipynb |
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# # Smoke Alarm install model
# ### this notebook repr... | Code/Models/Smoke_Alarm_Model.ipynb |