code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import pandas as pd
import matplotlib.pyplot as plt
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# ### Regularized Linear Regression
import numpy as n... | exercise5/estimation.ipynb |
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# + [markdown] kernel="SoS" tags=[]
# # Path translation and file... | src/user_guide/task_files.ipynb |
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# + [markdown] id="sYAdiHnE8g8w"
# # Pandas
#
# <!--<b... | Week 02 - Data Science Libraries/2- Pandas.ipynb |
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# # Pretrained Models
#
# ## Base learners using pretr... | Code/red_base_learners_cuda.ipynb |
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# utils
import re
import os
from glob import glob
... | ocr_pipeline.ipynb |
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import warnings
warnings.filterwarnings('ignore')
imp... | Projekty/Projekt2/Grupa2/NguyenPiatyszekPingielski/Milestone_2.ipynb |
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# + [markdown] colab_type="text" id="g_nWetWWd_ns"
# #... | site/ru/tutorials/keras/save_and_restore_models.ipynb |
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# ## Assignment 1
# ### Question 1
# Write a program... | Assignment 1.ipynb |
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# # Natural Language Processing with Embeddig Layer
f... | IntroDeepLearning/Serata 3 - Recurrent Neural Net/NLP_with_RNN.ipynb |
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# + [markdown] id="7KzCr5LXMjBO"
# ## Tuto... | examples/gce_nn_example_notebook.ipynb |
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import pandas as pd
import sqlite3
df_bal = pd.read_c... | data_cleaning.ipynb |
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# #Numpy Tutorial
# Numpy is a computational library ... | Studying Materials/Course 2 Regression/Multiple Regression/numpy-tutorial.ipynb |
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# # Convolutional Neural Network (CNN)
#
# `
# Convolu... | PhasePicking.ipynb |
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# # Data Science Mathematics
# # Simple Linear Regress... | Data_Science_Mathematics_Session_3.ipynb |
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# Chapter 10 of [A guided tour of mathematical methods... | 10_Laplacian.ipynb |
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# Contents
# ========
# - [Introduction](#Introduction... | notebooks/guides/step_wise_em_guides/Performing Blocking Using Built-In Blockers (Sorted Neighborhood Blocker).ipynb |
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# + id="snYKsZJ1Atdn"
import numpy as np
import matplo... | PTA_LPM.ipynb |
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# <center>
# <img src="https://gitlab.com/ibm/sk... | Data Collection API Lab.ipynb |
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# ## Homework 2
#
# Name: <NAME>
# <br>
# ID: u1265976... | Assignments/HW2.ipynb |
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import glob
reviews_dir = './data_ml_2020/movies_revi... | Text Classification with Naive Bayes.ipynb |
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# select a GPU
import os
os.environ["CUDA_DEVICE_ORDER... | DCASE_Task1b_inference.ipynb |
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# # Map View Selection
#
# With this application, user... | docs/content/applications/view_selection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 01_numpy_cwiczenia/021_030_exercises.ipynb |
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// # ML.Net - S... | Notebooks/ML.Net - StopWords.ipynb |
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# + [markdown] id="pMHdlTffbT2X"
# # Week 4 Lecture 1
... | determinants, eigenvalues and eigenvectors.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | AAMY/Cats_vs_Dogs.ipynb |
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# # Lab 04 : Test set evaluation -- demo
... | codes/labs_lecture05/lab04_test_set/test_set_demo.ipynb |
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# # Encoding the Board
def cross(a, b):
return [s... | Sudoku/Sudoku.ipynb |
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import tensorflow as tf
tensor = tf.constant([1, 2, 3... | TF_CodingTech.ipynb |
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import pandas as pd
import os
data_dir = "/projectnb/... | dataset/arabic/arabic.ipynb |
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# # 列表List
# - 一个列表可以储存任意大小的数据集合，你可以理解为他是一个容器
# ## 先来... | 9.20.ipynb |
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# %matplotlib notebook
# %reload_ext autoreload
# ... | jupyter/encoding-test.ipynb |
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# + colab_type="code" id="jjneMzGxDhGd" colab={}
# Ins... | Face_Recognition.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | docs/notebooks/WhenToStopFuzzing.ipynb |
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# + _cell_guid="39203a85-c522-4e5a-a9a2-b8551e5dfe12" ... | Classification/0.94 AUC with imbalanced dataset/Credit card fraud detection.ipynb |
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# name: python3710jvsc74a57bd0ac97be953db092153337d196dff... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# --------------------------
# HTML Display
# Exam... | html-display/html-display-test.ipynb |
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# THIS CELL SETS STUFF UP FOR DE... | docs/notebooks/PerceptualDiscrimination.ipynb |
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// # This notebook shows how to manage th... | iot_ingestion_manager/notes/events.ipynb |
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# + [markdown] id="CniKr6Fo-3iy" colab_type="text"
# ## In this notebook, we ... | vgg16_interpretation.ipynb |
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# Created this notebook to play around with synthetic ... | Drafts/Playing with synthetic data creation.ipynb |
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# # IMDB | IST 652 FINAL PROJECT | <NAME> & <NAME>
# ... | assets/all_html/2019_09_04_Final_Project_Ali_Ho_Kendra_Osburn_P2.ipynb |
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def searchInsert(nums, target):
if target in n... | Anjani/Leetcode/Array/Search Insert Position.ipynb |
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import io
from typing import Dict
from pathlib imp... | fastai-learner-on-mobile/widgit.ipynb |
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# <h2>Machine Learning Model for Predicting Cars' Fuel... | Machine Learning Model for Predicting Cars' Fuel Consumption.ipynb |
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# %pylab inline
import pandas
d = pandas.read_csv... | sentiment analysis for movie review 2.ipynb |
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data_address = "https://www... | web_scraping.ipynb |
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# + [markdown] button=false new_sheet=fals... | notebooks/DeltaDebugger.ipynb |
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sys.path.append("..")
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# + [markdown] slideshow={"slide_type": "slide"}
# <ce... | .ipynb_checkpoints/slides-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pistachio_Detection.ipynb |
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# %%writefile load_test.py
import molotov
@moloto... | python_utils/load_testing.ipynb |
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impo... | activations/pau/find_coefficients.ipynb |
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# + active=""
# Content provided under a Creative Comm... | module00_Introduction_to_Python/01_Lesson01_Playing_with_data.ipynb |
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# <a href="https://colab... | notebooks/Distribuciones de Probabilidad/Distribucion_Binomial.ipynb |
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# # On this notebook the test and training sets will be... | notebooks/dev/n02_separating_the_test_set.ipynb |
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# + [markdown] id="1e63aba1"
# # # ?Source... | notebooks/1.1-foc-Neptune_ai_demo.ipynb |
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# # To predict diabetes using PIMA diabetes data
# ##... | assets/logos/Diabetes prediction/Diabetes_Prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 25Noviembre.ipynb |
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# # Modelling api response times with
# # 1. requests... | example-app/Example-app.ipynb |
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# # Aligning Data to Darwin Core - Sampling Event with... | datasets/example_script_with_fake_data/IOOS DMAC DataToDwC_Notebook_event.ipynb |
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# + [markdown] id="IvAWhBeZvfxR"
# # The Annotated Enc... | 11 - Attention Mechanism/annotated_encoder_decoder.ipynb |
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# <a href="https://colab... | Correlation coefficient between sleep and long-term memory.ipynb |
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# + [markdown] id="_rPjOk7xbe9A"
# The ... | BayesianSegNet/main_bayesian_segnet.ipynb |
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# # Lecture 7
# ## Training / Test dataset and Normali... | Lecture7 Training_Test dataset_Normalization.ipynb |
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# # Lecture 02: Primitives
# [Download on GitHub](htt... | web/02/Primitives.ipynb |
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import random
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import sy... | analysis/dimensionalty_sim/plot_210603_grc_pcts_1024.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Housing_price.ipynb |
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import numpy as np
from scipy.spatial import distance
... | day6/day 6 part 2.ipynb |
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from math import *
import matplotlib... | PlotNonDimVsMetricsShelfBox.ipynb |
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# # Creating Folds & Preprocessing
#
# We ... | tps-2021-09/notebooks/Notebook 1 - Preprocessing.ipynb |
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# ## Aula 3 Video 1 - Entendendo os dados e o problema... | Alura/MLAprendizadoSupervisionado/626-jupyter-notebooks/626-Aula3.ipynb |
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# # ODaly's Driverless Cars
# %run rallyman_internals.ipynb
show(grid([
... | driverless_cars.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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from gs_quant.common import Currency, PayReceive
from ... | gs_quant/documentation/02_pricing_and_risk/00_instruments_and_measures/examples/00_instrument_basics/0005_market-data.ipynb |
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import requests
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impo... | notebooks/DownloadEarthExplorer.ipynb |
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sys.path.append(... | notebooks/visualize_world_bank_results.ipynb |
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fro... | simulated_fqi/notebooks/lmm.ipynb |
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import sys
sys.path.append("..")
import pandas as ... | adam_api_repo_curve_anomaly_detection/notebooks/Preprocessing Universe Repo.ipynb |
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#import pandas as pd... | round01/10_no-need-Fortran-reshape.ipynb |
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# ## Create rank 1 & 2 arrays
import numpy as np
# #... | Numpy/create-rank-1-2-arrays.ipynb |
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# + id="z00iGjLO8jzo"
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import matp... | image_colorization.ipynb |
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# + [markdown] id="3HWdNocrJzgY"
# <a href="https://colab.research.google.com... | midi_ddsp/colab/MIDI_DDSP_Demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks_ko/Ch04C-synthetic_features_and_outliers.ipynb |
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# + [markdown] colab_type="text" id="vAM__pSGf5Pt"
# #... | Exercise01-Exercise07/Exercise01-Exercise07.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] deletable=false editable=false nb... | content/problem_sets/nurc_2021-folder/nurc_2021.ipynb |
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#... | TesterBook/01_Data_Ecosystem/Chapter_1.4_Columns_and_Variables.ipynb |
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# Run help
# !python src.py -h
# + pycharm={"name": "... | docs/examples/2-sub-commands/usage.ipynb |
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import matplot... | V3.ipynb |
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# # This code based o... | titanic/notebook/titanic.ipynb |
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# # Introduction
# I've noticed that the biomass react... | notebooks/30. Update biomass reaction.ipynb |
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# # 07_Convolutional_Neural_Networks
# In this noteboo... | 07_Convolutional_Neural_Networks_answer.ipynb |
# -*- coding: utf-8 -*-
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# # Dynamic Modeling i... | patch_selection.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | workshops/Bring_Your_Own_Sklearn_Classifier/byo_mlp_classifier/sklearn_bring_your_own_MLP_Classifier_Breast_Diagnostic.ipynb |
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# # Parameter sweeps for replay speed analysis
# ## (R... | 3B_param_regimes_sweep_ext.ipynb |
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# ## Lecture 01 Python juypter notebook
# ### Use Spyd... | lectures/lecture01/lecture01.ipynb |
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# # Add event callbacks for on_hover and on_click
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