code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# # 0. required packages for h5py
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# %run "..\..\S... | 5kb_DNA_analysis/single_fov/20201002_updated_single_fov_IgH_batch1_proB_dox+_2color_Franklin.ipynb |
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import pandas as pd
import numpy as np
import matplo... | _posts/test_project3.ipynb |
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# # Image to features
#
# Read an image with opencv.
... | _doc/notebooks/cheat_sheets/image_features.ipynb |
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# # FUNCIONES DE AYUDA AL PROCESADO DE TEXTO
# # MLea... | docs/sources/user_guide/nlp/Text Helper Functions.ipynb |
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import re
ipdta= open('Dataset.txt').read()
#sour... | GetTestingData.ipynb |
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# + id="lPv-MdE1sAkJ" outputId="33036546-2419-4f28-b9e8-e0f5a717eb9e" colab={... | notebooks/classifier.ipynb |
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# # More API Examples
#
# This notebook contains EVEN ... | lessons/11-webapis/WMC3-More-API-Examples.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
pl... | Bagian 4 - Fundamental Pandas/3. Indexing Time Series.ipynb |
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# + id="VAYu3ISwwGks"
import numpy as np
import pandas as pd
import torch
i... | 1_mosaic_data_attention_experiments/3_stage_wise_training/alternate_minimization/effect on interpretability/blob_with_sparse_regulariser/10runs_entropy_005_simultaneous.ipynb |
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# # Accuracy vs Mag DEIMOS Spec Test Set
#
# In this note... | PS1casjobs/DEIMOS_COSMOS.ipynb |
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# # SETUP
# !rm -rf ../coco/co... | code/Exp_new.ipynb |
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struct Foo{A, B} a::A; b::B end
foo = Foo(1, 2)
... | 0022/deepcopty.ipynb |
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# # Supervised Learning
# # Logistic Regression:
#... | Data-Science-HYD-2k19/Day-based/Day 48.ipynb |
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import pandas as pd
data = pd.read_excel... | Screener.ipynb |
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import os
import sys
sys.path.append('/'.join(os.g... | code/experiments/plot-correlations-priormdp.ipynb |
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from network_evaluation_tools import gene_conversion_t... | Network Processing Notebooks/InBioMap Processing.ipynb |
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# default_exp architecture.common
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#export
imp... | nbs/02_architecture_common.ipynb |
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import spacy
text1 = "Children shouldn't drink a suga... | nlp-with-python/advanced_ nlp tasks with spacy.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] id="view-in-github" c... | QM_IntroJulia.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | voiceTranslation_withWatson.ipynb |
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# <a href="https://colab... | Loop_Statement.ipynb |
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# <a href="https://colab... | 03_keras/06_save_load_model.ipynb |
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from IPython.display import display, Markdown
a = 13.... | Ejercitacion/practica2/Untitled.ipynb |
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# # Risk-Constrained Portfolio Optimization
#
# by <NA... | docs/memo/notebooks/lectures/Factor_Based_Risk_Management/notebook.ipynb |
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# L1/L2 Code Along IIA: lesson1.vgg
#
# Replic... | FADL1/vgg16_lesson1.ipynb |
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import requests
from scrapy.http import TextResponse
... | web_crawler/playbook_scrap.ipynb |
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# Dependencies
from bs4 import BeautifulSoup
import re... | 01-Lesson-Plans/12-Web-Scraping-and-Document-Databases/2/Activities/05-Ins_MongoScraping/Solved/Ins_MongoScraping.ipynb |
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import numpy as np
from datasets.audio import *
im... | griffin_lim_synthesis_tool.ipynb |
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import numpy as np
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import matplotl... | analysis/.ipynb_checkpoints/energyConservation-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | tutorials/W3D2_HiddenDynamics/student/W3D2_Tutorial3.ipynb |
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import pandas as pd
import numpy ... | code/bootstrapping.ipynb |
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import pandas as pd
import os
os.chdir("... | data/eda_code/EDA1.ipynb |
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im... | train_top_b.ipynb |
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# <center>
# <a href="http://www.insa-toulouse.fr/" ><i... | MNIST/Atelier-pyspark-MNIST.ipynb |
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# <script async src="https://www.googletagmanager.com/... | IllinoisGRMHD/doc/Tutorial-IllinoisGRMHD__Lorenz_psi6phi_rhs__add_gauge_terms_to_A_i_rhs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | python-arboles-de-decision-002.ipynb |
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# class... | Preprocess.ipynb |
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# # Kafka Producer
# !pip install Faker
import rando... | 20-KafkaProducer.ipynb |
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# This is an example Jupyter notebook in Drake to be r... | tools/jupyter/example.ipynb |
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# # **P3 - Data Wrangling with MongoDB**
# # *... | P3 wrangle_data/.ipynb_checkpoints/DataWrangling_ganga-checkpoint.ipynb |
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# # Linked List Reversal
#
# ## Problem
#
# Write a f... | code/algorithms/course_udemy_1/Linked Lists/Problems - PRACTICE/Linked List Reversal .ipynb |
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# #### Задача 1.
# ##### Даны два целых числа A и В.... | for_tasks_solved.ipynb |
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# # Introduction to web scraping with python
# [source... | _site/lectures/Week 06 - Web Scraping/01. Introduction to Web Scraping.ipynb |
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"""
MAC0417 - EP2
Nome: <NAME>
NUSP: 9763832
IMPO... | EP2/analysis_functions.ipynb |
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# # Procesamiento de viajes de Ecobic... | jupyter_notebooks/procesamiento_datos_ecobici.ipynb |
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# # Factor Graphs
#
# - **[1]** Consider the foll... | lessons/exercises/Exercises-Factor-Graphs.ipynb |
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# # Training an agent to Walk
# Now let us learn how ... | Chapter02/2.08 Training an Robot to Walk.ipynb |
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import matplotlib.pyplot as plt
import import_ipynb
fr... | AI502/ResNet/main2.ipynb |
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# # Return Oriented Programming (ROP)
# - [https://en.... | ROP.ipynb |
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# # Info
#
# 2D example of vhgpr
import numpy as np
f... | example_2d.ipynb |
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import pandas as pd
pbp_data = pd.read_csv('data/... | cfb-drive-pbp-analysis.ipynb |
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# # [WIP] Creating New Tests
# How to implement a new ... | docs/notebooks/creating_new_tests.ipynb |
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#Modify the previous code so that the robot senses... | test_code/Q2_31_Sense_and_Move_2.ipynb |
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from cartoframes.auth import Credentials
from cartofra... | examples/_debug/SQL_client.ipynb |
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import requests
import bs4
import time
import tracebac... | ChaHao.ipynb |
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# # Jupyterlab testing
# +
import m... | surveys/2018-09-jupytercon-2018/jupyterlab_test/jupyterlab-test.ipynb |
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# Temporal... | Experiments/Guangzhou_TRMF.ipynb |
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# <br>
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# # Anscombes Quartet - Assignment for Fundam... | anscombes.ipynb |
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# # COVIDvu - US regions visualizer <img src='resource... | work/COVIDvu-US.ipynb |
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# + [markdown] _uuid="1020827e241ac87ffdf8e0f8762a6885... | DiseasePredictior/plant-disease-detection-using-keras (1).ipynb |
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import numpy as np # linear algebra
import pandas as p... | Heart Disease Prediction/Heart Disease Prediction.ipynb |
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# # More Explorations with MoMA Scrape
#
# NO BROKER.ipynb |
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# # Fractional differentiation
#
# ## Objetivos
#
# - ... | src/notebooks/frac_diff.ipynb |
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import Preprocess as util
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import ma... | Train Test.ipynb |
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# ###### Content provided under a Creative Commons Att... | lessons/10_Lesson10_sourcePanelMethod.ipynb |
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# # 2016 US Bike Share Activity Snapshot
#
# ## Table ... | Explore-US-Bikeshare-Data/Bike_Share_Analysis.ipynb |
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# ## Set up Spark
import findspark
findspark.init()
f... | jupyterNotebooks/Prediction.ipynb |
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maps = Maps(plateifu=plat... | bpt.ipynb |
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# # Monte Carlo simulation for Coefficient 2
#
#
# +
... | notebooks/TEST_MonteCarlo_Coefficient_2.ipynb |
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import catboost
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# + [markdown] id="AZdfdAQSt7hZ"
# ##### Copyright 2020 HrFlow's AI Research ... | examples/colab/build_personalized_ai_hr_models.ipynb |
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# ### Zhiqi: I renamed your file... | src/zhiqi.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | Untitled.ipynb |
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from matplotlib import... | analysis/Market Prices and Net Asset Value.ipynb |
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# # Network Topology
#
# This notebook contain... | network_topology.ipynb |
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# # Cleaning data borrowed from a real-estate listing ... | notebooks/clean_realtor_ca_data.ipynb |
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import matplotlib.pyplot as pl
... | notebooks/bic.ipynb |
# + [markdown] colab_type="text" id="1Pi_B2cvdBiW"
# ##### Copyright 2018 The TF-Agents Authors.
# + [markdown] colab_type="text" id="f5926O3VkG_p"
# ### Get Started
# <table class="tfo-notebook-buttons" align="left">
# <td>
# <a target="_blank" href="https://colab.research.google.com/github/tensorflow/agents/bl... | tf_agents/colabs/policies_tutorial.ipynb |
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from __future__ import print_function
from keras.... | Seq2seq_model_keras_character-level.ipynb |
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# # Shelve
# - Simple key-value database
# - Useful if... | notebooks/shelve.ipynb |
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# # Heat ... | plot-district-heating-viability/README.ipynb |
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import pandas as pd
from GEOSNAP2NAM import Aspatial_C... | Categorical_Data_Vis/.ipynb_checkpoints/GEOSNAP2NAM1-checkpoint.ipynb |
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# load libraries
import numpy as np
import pandas... | projects/predictions/ml_python_onehotencoding_1.ipynb |
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# ## 2021년 6월 7일 월요일
# ### Programmers - 2개 이하로 다른 비트 ... | DAY 301 ~ 400/DAY388_[Programmers] 2개 이하로 다른 비트 (Python).ipynb |
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files = ["bhairav", "dh... | feature_extraction/punctuation_frequencies.ipynb |
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# + [markdown] colab_type="text" id="Jxv6goXm7oGF"
# ##### Copyright 2018 The... | site/ko/guide/autograph.ipynb |
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# ## Libraries
# +
# %matplotlib inline
import matplo... | group_files/cpompa/notebooks/4-nba-ml-multi-linear-regression.ipynb |
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# Trains a simple deep NN on the IRIS dataset.
#
#
im... | 6.KerasBasic/MLP_iris/MLP_iris.ipynb |
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# # Step 3B... | notebooks/3b_model_scoring_evaluation.ipynb |
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import numpy as np
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# # Premier League Prediction using Machine Learning
... | Working of PL_Prediciton_using_ML/Premier_League_Table_Prediction.ipynb |
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# # NDAP: In-class demos and notes
# For 9.24.2018.
#
... | lecture11_numpy_contd/Lecture11-demos.ipynb |
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# # ML Pipeline Preparation
# Follow the instructions ... | Project 5 - Disaster Response Pipeline/ML Pipeline Preparation.ipynb |