code stringlengths 38 801k | repo_path stringlengths 6 263 |
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import psycopg2
import pandas as pd
import numpy as np... | KNN/.ipynb_checkpoints/KNN_classification_All_Set_Aside-checkpoint.ipynb |
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# !conda install python-slugify
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# %load_ext autor... | notebooks/Data Exploration/FinalOutput.ipynb |
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# # Basic Text Classification
# Credits: [TensorFlow](... | NeuralNetworks/Perceptrons/TextClassification.ipynb |
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# # Read the records from the Geom Test of Reciprocity... | notebooks/BreadBoard_Consolodate_Reciprocity_MT_Construction.ipynb |
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# # Batch Geocoding
#
# The `batch_geocode()` function... | guide/08-finding-places-with-geocoding/batch-geocoding.ipynb |
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# +
Credit: <NAME>, <NAME>
# This Python 3 environmen... | birds-new-with-256x256-more-epoches.ipynb |
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# + [markdown] colab_type="text" id="IZtnwJbt6oJT"
# <... | exploring-metadata.ipynb |
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import mlxtend
from mlxtend.evaluate import conf... | all_codes/cnn/cnn_final_try1-ORIGINAL-TEST_ACCURACY_CONFMAT_shallow_network_CRTS_cep_ecl-Copy1.ipynb |
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# 保存模型
import tensorflow as tf
import numpy as np... | save_restore_tf_model.ipynb |
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import numpy as np
import pyclesperant... | demo/neighbors/other_proximal_labels_count.ipynb |
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# <img src="https://cybersecurity-excellence-awards.co... | examples/Trial/Asteroid Classification (Danger-UpSampled).ipynb |
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import torch
import torch.nn as nn
import torch.nn... | SimpleGANs.ipynb |
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# # Data Generator
#
# Generating more realistic data
... | data-generator/datagen-tx-small-1.ipynb |
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# + pycharm={}
import submitter
# + [markdown] pycha... | jhub-spawner-client/examples/submit_example.ipynb |
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# + id="FWbqi0Quujrn" colab={"base_uri": "https://localhost:8080/"} outputId=... | MODEL -2 (CNN)/MEL_CNN_PreprocessingCode_Model2.ipynb |
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# ## Using TLS with measurement uncertainties
#
# TLS ... | tutorials/10 Measurement uncertainties.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | day4.ipynb |
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# + [markdown] colab_type="text" id="Ic1reB4s6vu1"
# #... | docs/notebooks/autodiff_cookbook.ipynb |
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# + [markdown] id="view-in-github" colab_type="... | Copy_of_basics.ipynb |
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# # Network Diagram with Sigma.js
# This example uses... | ex6_sigma_js_graph.ipynb |
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#
# # Setup
#
# ## Load packages
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import pandas as... | code/analysis/lag_distribution_analysis.ipynb |
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# + [markdown] id="IUqxF8tVSov0"
# <div style="text-al... | 02_Ngrams/01_frequencies.ipynb |
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# ## Exploratory Data Analysis on FHIR
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# #!pip in... | FHIR-bundle-JSON.ipynb |
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# + [markdown] id="FgtBtiBmV1fD" colab_type="text"
# # Grammatical Chunk Matc... | examples/collab/Chunkers/NLU_Chunking_Example.ipynb |
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# <h1>Table... | app/notebooks/labeled_identities/hosts/carol_costello.ipynb |
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# # Neural networks with PyTorch
#
# Next I'll show yo... | Part 2 - Neural Networks in PyTorch.ipynb |
# -*- coding: utf-8 -*-
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# # Newton's Method and Fi... | slides/23-newton/newton.ipynb |
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# # Project 2 : Reacher Project (Continuous Control)
#... | Report.ipynb |
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import os
os.chdir("M:")
import numpy as np
import pa... | Code/Corr_plot.ipynb |
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# # Removendo linhas duplicadas no Pandas
#
#
import ... | S16_A125 - Removendo duplicatas.ipynb |
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# My $w(\theta)... | notebooks/Test wt Calculation.ipynb |
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# # Sourcing fire data
# This notebook sti... | notebooks/ca-solar/02-fire-data-sourcing.ipynb |
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# # 📈 Linear Regression with Python
#
# > Linear Regr... | day02/linear-regression-house-price.ipynb |
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# # San Francisco R... | dashboard.ipynb |
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import re
import collections
path = 'data/hsa00001.me... | parse_hsa.ipynb |
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# # F / OH site preference in (F/OH)-substituted anata... | analysis/defect_configurations.ipynb |
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# # %load template.py
# # %load template.py
import... | notebooks/Tall_Trees_at_project_site.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | downloaded_kernels/house_sales/kernel_2.ipynb |
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# <b>Calcule a integral dada</b>
# $4. \int e^{5x}dx$... | Problemas 5.2/04.ipynb |
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from pathlib import Path
import json... | projects/implicitron_trainer/scripts/create_singleseq/create_singleseq.ipynb |
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# + [markdown] deletable=true editable=true
# # Data Q... | DataQualityReports.ipynb |
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# #!pip install pyspark
# -
from pyspark.sql impo... | Week5_SparkML/SparkML/spark-practice/.ipynb_checkpoints/TitanikSparkML-checkpoint.ipynb |
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# # 2D animations
#import usual things
import numpy a... | _site/lesson06/inClass_lesson06.ipynb |
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import pandas as pd
weather_train = pd.read_csv("../d... | notebooks/10-dl-feels-like.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | plot_history.ipynb |
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# # JOHNSTON - 67-Markers Data Set v.7a
# +
# Copyrig... | jupyter/JOHNSTON - 67-Markers Data Set-v.7a.ipynb |
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# # Federated learning: using a TensorFlow mod... | notebooks/federated_learning/federated_learning_basic_concepts_tensorflow.ipynb |
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import tensorflow as tf
import tensorflow.contrib.eage... | testzie/gradient_test.ipynb |
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# # Setup
# ## Imports
from tqdm import tqdm_noteboo... | Exploration/RL/ConvPolicy/Notebooks/PG.ipynb |
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import sys
import purly
# To set things up we'll need... | examples/slider.ipynb |
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# # Plotting the NASA PGA data on an actual map
#
# La... | example_notebooks/cartopy/Plotting heat map data on a map using cartopy.ipynb |
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# # Camera-Basic-Recognition
# O Sistema deve identif... | lessons/5 - Camera-Basic-Recognition.ipynb |
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# # Úkol č. 1 - vizualizace dat a web scraping (do 20.... | 01/homework_01_B191.ipynb |
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# %load_ext autoreload
import swm
import numpy as ... | thiel_app/.ipynb_checkpoints/clean_replication-checkpoint.ipynb |
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# # Sequence to sequence
#
# > **訳注**：このnotebookは，Udac... | seq2seq/sequence_to_sequence_implementation_j.ipynb |
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import numpy as np #importing the libraries
import p... | phisherdata.ipynb |
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import ray
import pyarrow as pa
ray.i... | wip/ray/datasets/parquet-raydata.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | lab-notes/pld_05.ipynb |
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# + [markdown] id="u8KXftfxYoHG"
# # Node2vec, Edge2vec, and Graph2vec
# + [... | docs/T926278_Node2vec_Edge2vec_and_Graph2vec.ipynb |
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# # Deep learning for computer vision
#
#
# This noteb... | week03_convnets/seminar_pytorch.ipynb |
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import os
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ma... | cycGAN_demo.ipynb |
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# <h1>Table of Contents<span c... | Section9_SparkDF_Exercise/pyspark_examples.ipynb |
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# <img title="GitHub Octocat" src='./img/O... | safe-driver-prediction.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Deutsch-Jozsa ... | content/ch-algorithms/deutsch-jozsa.ipynb |
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# ## Import libraries
# +
import pandas as pd
import ... | inst_sentiment.ipynb |
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# It's Sunday morning, it's quiet and you wake up with... | fraud_detection.ipynb |
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# + [markdown] id="RsR6wyMG7x_L" colab_type="text"
# ### author: <EMAIL>
# > ... | U_Net_ISIC_DropAugPrep.ipynb |
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# + id="C-uA48UYt5vL" colab_type="code" outputId="49374e27-00e4-4c89-c7f0-647... | GANs_on_mnist.ipynb |
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# import all required packages
import pandas as pd
imp... | release_year_version.ipynb |
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# # Decision Tree
# ## Data Cleaning
# ### ADULT Dat... | python_scripts/Decision Tree Set Up.ipynb |
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# <img align="left" src="https://ithaka-labs.s3.amazon... | python-basics-1.ipynb |
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# # Install Seaborn.
# If you have Python ... | Python Library/NumPy/NumPy_Random/Seaborn.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# %load_ext autoreload
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from nb_00... | dev_nb/experiments/pipelines_speed_comp.ipynb |
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# # Pandas 简介
# **学习目标：**
# * 大致了解 *pandas* 库的 `Da... | tensorflow_seedbank/intro_to_pandas.ipynb |
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# This example computes the annual cycle for daily SST... | advanced_examples/calculate_covariance_matrix.ipynb |
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# default_exp workflows
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# # workflows
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# ## Practice Markdown
# This notebook lets you exper... | Practice-Markdown.ipynb |
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# <img align="left" src="https://lever-client-logos.s3... | module2-convolutional-neural-networks/LS_DS_432_Convolution_Neural_Networks_Assignment.ipynb |
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"""
Starting in the top left corner of a 2×2 grid, and... | Project_Euler-Problem_15.ipynb |
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# this program says hello and asks for the name
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# # Python part 3 #
# ## Objects (*things*) and functi... | part_3.ipynb |
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# ## Calculating Containment
#
# In this notebook, you... | Containment_Exercise.ipynb |
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# # **Traffic Sign Recognition**
#
# ## Writeup
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# # Overview
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# This Jupyter Notebook takes in data from a Google... | notebooks/line-changes.ipynb |
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# + id="uJawRTaqSyR3"
import numpy as np
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# <h1 align=center>Starbucks Project</h1>
# <h2 align=... | Starbucks Capstone Project.ipynb |
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# <small><small><i>
# Introduction to Python for Bioin... | Notebooks/09.ipynb |
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# + [markdown] id="x3uxbPbddh1t"
# ## Check the GPU
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# + uuid="2a0489ae-087b-4cb2-b72d-af809d62eae5"
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# %run ../Python_files/util.py
link_label_dict = zloa... | 09_2_develop_new_OD_demand_estimator_MA_journal_Dijkstra_uni_class/02_create_node_link_incidence_MA_journal.ipynb |
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# ### Installation
#... | keras-nn/09_Conv_NN_TensorFlowDataSets/TensorFlowDataSets_RPS.ipynb |
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# + [markdown] papermill={"duration": 0.062035, "end_t... | evolution-of-digital-learning-during-covid19.ipynb |
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# Goal: scrape the website <a href="https://www.skinny... | SkinnyTasteScraping.ipynb |
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# + [markdown] id="Yw5yHQYjc8nl"
# # To Fish or Not to Fish
# > "A PyTorch tu... | _notebooks/2021-06-11-Image-Loading.ipynb |