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# <a href="https://colab... | Custom NER Training using SpaCy + BERT(no static vector).ipynb |
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# # Conditional Probability & Bayes Rule Quiz
... | stats_lessons/conditional_probability_bayes_rule.ipynb |
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# # Text proces... | code/notebooks/keras/05-Text_processing.ipynb |
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# # Random Forest
# A single decision tree - tasked t... | 02-Classification/forest.ipynb |
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# # 作业 模型持久化，提供服务，封装
#
# * 参考example3+4 和 example 5
# ... | homework1/homework.ipynb |
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# prerequisite package imports
import numpy as np
... | Data Visualization/2. Bivariate/Additional_Plot_Practice.ipynb |
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# ## Python statistics essential training - 03_07_emai... | Python Statistics/Exercise Files/chapter3/03_08/.ipynb_checkpoints/03_07_email_begin-checkpoint.ipynb |
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# + [markdown] id="DoplaB7FtIqu" ta... | notebooks/c01_ml_olympiad_eda_feature_eng.ipynb |
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# name: python391jvsc74a57bd063fd5069d213b44bf678585dea6b12cceca9941eaf7f819626cde1f2670d... | Jupyter/SGD_v2.ipynb |
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# + id="YjKuNPUV6sAk" colab_type="code" colab={}
import pandas as pd
import n... | day4.ipynb |
# -*- coding: utf-8 -*-
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# # Pangenome Construction using Roary
... | ROARY/index.ipynb |
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# + [markdown] azdata_cell_guid="5aa4391d-6f25-4169-9417-045034dae8b5"
... | Presentations/PowerShell-for-PowerBI/ImportData_FromExcel.ipynb |
# -*- coding: utf-8 -*-
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# # Reverse time migration... | examples/cofii/cofii_rtm_batch.ipynb |
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# <a href="https://colab... | Deep_Architectures.ipynb |
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#checking ethe current directory
import os
print(os.ge... | PyCon2019Playground.ipynb |
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import base64
import requests
import datetime
from url... | n_day_python/the_spotify_api/notebooks/6 - Duplicate client.ipynb |
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#Python Imports
from sklearn.decomposition import ... | notebook/Hybrid Filtering.ipynb |
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# %matplotlib inline
import numpy as np
import matplot... | notebooks/14.Model_Complexity_and_GridSearchCV.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module1-afirstlookatdata/GKwol_LS_DSPT3_111_A_First_Look_at_Data.ipynb |
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# + id="yitlha1UimxW"
import tensorflow as tf
import numpy as np
import matpl... | Day 1/LineAssumption.ipynb |
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#@title Licensed under the Apache License, Version 2.0 ... | Copia di horse-or-human.ipynb |
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# ## List Slicing
# *Suggested Answers follow (usuall... | 11 - Introduction to Python/7_Sequences/3_List Slicing (4:30)/List Slicing - Solution_Py3.ipynb |
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# <a href="https://www.bigdatauniversity.com... | SVM-cancer.ipynb |
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# # 爬取文章上的內文的所有文章
#
# 1. 你有可能會遇到「是否滿18歲」的詢問頁面
# 2. 解析 ... | appendix_ptt/03_crawl_image.ipynb |
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# # Directional Analysis of Dynamic LISAs
#
# This not... | notebooks/explore/giddy/directional.ipynb |
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# # Introduction
# Loading files into FSLeyes and adju... | data_visualization/fsleyes_tutorial.ipynb |
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# # Watch Me Code 2: Exam Grades
#
# A simple example ... | content/lessons/08/Watch-Me-Code/WMC2-Exam-Grades.ipynb |
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# # Kernel Shape Example
# Spring 2019 AME-70790 Final... | 02_kernel_shape.ipynb |
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# # Sensitivity: Algebraic explanation
# ## Changes in... | docs/source/CLP/tutorials/Sensitivity - Algebraic explanation.ipynb |
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# GPU: 32*40 in 8.00s = 160/s
# CPU: 32*8 in 1... | deep-learning/multi-frameworks/notebooks/Knet_Inference.ipynb |
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# # Form Parsing using Google Cloud Document AI
#
# Th... | blogs/form_parser/formparsing.ipynb |
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# %load_ext autoreload
# %matplotlib inline
impor... | docs/notebooks/02 - AFNI Deoblique.ipynb |
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import torch
impo... | deep_learning/transfer_learning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Operations_and_Expressions_in_Python.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Part 2-Computer Vision with TensorFlow/Callbacks_example_Notebook.ipynb |
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import numpy as np
# CONSTANTS - DO NOT CHANGE
G = 6.6... | launch_vehicle_sizing.ipynb |
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# # GCP Dataflow Component Sample
# A Kubeflow Pipelin... | courses/machine_learning/deepdive2/production_ml/labs/samples/core/dataflow/dataflow.ipynb |
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# reload packages
# %load_ext autoreload
# %autoreload... | notebooks/semisupervised/cifar10/learned-metric/old/old-augmented-Y/cifar10-aug-16ex-learned-0.8conf-Y.ipynb |
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dic1 = {1:10, 2:20}
dic2 = {3:30, 4:40}
dic3 = {5:50, ... | Project/Python/Data Science Challenge with Python/Data Science Challenge with Python.ipynb |
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# default_exp swaps
# hide
_FNAME='swa... | nbs/swaps.ipynb |
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# # FMA: A Dataset For Music Analysis
#
# <NAME>, <NAM... | webapi.ipynb |
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# # Tidal elevation thresholding
#
# The script will d... | 01_standalone_demo.ipynb |
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# + id="YeiMK0WOG1Ox"
import numpy as np
import matplotlib.pyplot as plt
impo... | Quantum Support Vector Machines MultiClass.ipynb |
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class Solution:
def canCompleteCircuit(self, gas: ... | 贪心/#leetcode134.ipynb |
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from typing import List
# Definition for a binary tr... | .ipynb_checkpoints/InOrderGraph-checkpoint.ipynb |
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# This example shows how to:
# 1. Load a counts matr... | examples/scrublet_basics.ipynb |
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# # Welcome to Algosoc, the soceity for algorithmic tra... | Notebook/2020_21/Lecture 1 Understanding financial data.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | plots/representations-figure.ipynb |
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import pandas as pd
f = pd.read_pickle('../data/proce... | notebooks/8- Fitting Models.ipynb |
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# **[HWR-01]** 必要なモジュールをインポートします。
import tensorflow a... | Chapter05/Handwriting recognizer.ipynb |
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from GPyOpt.methods import BayesianOptimization
import... | mikes_bayesian.ipynb |
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from cartoframes.auth import set_default_context
f... | examples/debug/API/basemaps.ipynb |
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library(ez)
library(car)
library(nlme)
require(multcomp)
library(phia)
... | _R01-Finger-Movement-Activity.ipynb |
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import pandas as pd
import io
import requests
url=... | scripts/2021_breast_cancer/pipeline_GradientBoostingClassifier.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | miricoord/apt2dither/APT_to_MIRIsim_dithers.ipynb |
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# Para entrar no modo apresentação, execute a seguinte... | minicurso/3.IPython.ipynb |
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# Monthly NO2 Concentrations in Atmosphere cit.018 htt... | ResourceWatchCode/Raster Dataset Processing/Raster Prep Notebooks/cit.018_calculate_running_average-later_done.ipynb |
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import pandas as pd
import numpy as np
# Read NYC trees data
nyc_trees = pd.read_csv("./nyc_tree_census.csv")
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# # Homework 7
# In this homework, we will... | fall_2021/hw7_release/hw7.ipynb |
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# In this tutorial we will go through some of the most... | jupyter/tutorial.ipynb |
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# %matplotlib inline
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def escreva(msg):
tam = len(msg)+4
print('... | .ipynb_checkpoints/EX097 - Um print especial-checkpoint.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# <img src... | fio-benchmark.ipynb |
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# # LAB 01.02 - Metrics
# !wget --no-cache -O init.py... | content/LAB 01.02 - METRICS.ipynb |
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# # Introduction:
# - This is a data set used to predi... | Datascience_With_Python/Machine Learning/Audios/Heart Failure Prediction/heart_disease_prediction.ipynb |
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import bokeh
from bokeh.plotting import figure, sho... | content/lessen/wiskunde/functies/grafiek/grafieken.ipynb |
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import torch
import torch.nn as nn
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# import cell
import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Untitled1.ipynb |
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from ... | dev/plot-quality.ipynb |
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# # Deep Neural Network for Image Classification: Appl... | 01-Neural Networks and Deep Learning/week4/Deep Neural Network for Image Classification-Application.ipynb |
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def print_len_abc_sized(x):
i... | notebook/print_len_collections_abc.ipynb |
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# # ARC Tools
# ## Coordinates conversions
# Below, `x... | ipython/Tools/coordinates conversions.ipynb |
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# # Image Classification Model - Serving Function
#
# ... | tf2_serving/tf2_serving.ipynb |
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# # Autoencoder LSTM
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# + id="A4eoZWGBUE2F"
import matplotlib.pyplot as plt
from scipy.signal impor... | CountSquats.ipynb |
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# # Exploratory Data Analysis (EDA)
# +
#Import the L... | exploratory-data-analysis.ipynb |
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# + id="PcJDApDcK0O9" colab_type="code" outputId="717a39fb-aea4-4572-c5e1-2f9... | Q1 PartD/Q1 PartD - Weekly/MiniProj_LSTM_Adam_MAE_Q1_PartD_Pytorch_Weekly.ipynb |
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from scipy.opti... | CorrFunction_NMRRelaxation.ipynb |
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# # Bode Plots
import control
import nump... | 09.Bode.ipynb |
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import nltk
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import blackjackML as bjml
n_games = 1000
n_decks... | Notebooks/Blackjack with Package-checkpoint.ipynb |
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#Agenda
#Why Index is important
#Index Array
#Nega... | Week 1/Section 3/Indexes in Pandas- 1.ipynb |
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# ### PyFVCOM plotting tools examples
#
# Here, we dem... | examples/pyfvcom_plot_example.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} exec... | Day-76/chestxray-cnn.ipynb |
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# Libraries needed for the tutorial
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#
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# ## 10 ``Numpy`` 中的比较和Fancy Indexing
# ### Fancy Ind... | 03-Jupyter-Notebook-Numpy-and-Matplotlib/10-Comparison-and-Fancy-Indexing/10-Comparison-and-Fancy-Indexing.ipynb |
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# # **AbLang Examples**
#
# AbLang is a BERT in... | examples/example-ablang-usecases.ipynb |
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# ## 6.2: API の概要
# +
# リスト 6.2.1 Matplotlib でグラフを描画
... | notebooks/6-02.ipynb |
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# # XML example and exercise
# ****
# + study examples... | XML_Mondial.ipynb |
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# # EDA Dynamic - All Countries
# +
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# # Quick-Start Guide
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