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import nltk
from nltk.stem import PorterStemmer
from n... | Streaming & Lemitization/NLP with [Streaming ,Lemitization ,Stop word].ipynb |
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# check installed packages
pip list
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from pyspark.... | src/playbook_101.ipynb |
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# ## 1. Basic idea
# The algorithm is sup... | Xiaoyi_algorithm_notes.ipynb |
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# # Differential Privacy Jupyter Lab Lesson 1
# Welcom... | dp-lab/DP Lesson 1.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="VIVfmy_iqvmH" outputId=... | Assignment6/Module7_Assignment.ipynb |
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from birdy import WPSClient
from birdy.exceptions ... | notebooks/examples/c4cds.ipynb |
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# #### 쉘모드 변경
# - Code 쉘 모드 : 파이썬 코드 실행
# - Markdown 쉘... | jupyter/dAnalysis/a_basic_class/Ex01_markdown.ipynb |
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# + [markdown] colab_type="text" id="5rmpybwysXGV"
# #... | site/zh-cn/beta/tutorials/eager/custom_training.ipynb |
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# + [markdown] id="8ZelAXba3D05"
# ![JohnSnowLabs](https://nlp.johnsnowlabs.c... | nlu/release_notebooks/NLU_3_0_2_release_notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Shazam_song_downloader.ipynb |
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# + [markdown] id="SuuFz3YKhsFZ"
# # Tutorial... | LAMA_basic.ipynb |
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# # Unsupervised methods
#
# In this lesson, we'll cov... | day-2/02-unsupervised-solutions.ipynb |
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# +... | evaluate.ipynb |
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import librosa
import librosa.display
import scipy as ... | 2_ftt.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # S... | sst_01_overview.ipynb |
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# <img src="https://rhyme.com/assets/img/logo-dark.png... | Univariate Linear Regression_Completed.ipynb |
# -*- coding: utf-8 -*-
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# # Demo ARMA node: filter... | demo/demo_filtering.ipynb |
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# ## Predict Category of News Using Labeled NYT Data
#... | notnews/models/us_not_news_soft_news.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Office_TV_Series.ipynb |
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# # Linear Magnetic Inversion
# **Objective:**
#
# I... | docs/case-studies/PF/Linear_Problem_Mag.ipynb |
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import os
base=os.path.dirname(os.path.realpath("__fil... | examples/moons_glow_example.ipynb |
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# ## 1. Import Libraries
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import pandas as pd
impo... | analysis/machine_learning/mimic_iv_feature_engineering_3.ipynb |
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from matplotlib import pyplot as plt
import seabor... | models.ipynb |
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# + [markdown] deletable=true editable=true
# # Introd... | 7_deep_learning_az/DataScience-Python3/Keras.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Searching_Algorithms.ipynb |
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# ### Installing the Library
# !pip inst... | Samples/KeyPhrasesDemo.ipynb |
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import random
import numpy as np
import random
import ... | multiple_outputs.ipynb |
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# ###... | PyCitySchools/PyCitySchools_starter.ipynb |
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import pandas as pd
import seaborn as sns
import m... | Decision Forest Classifier.ipynb |
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# # Detect and Delete outliers with Optimus
# An outl... | examples/new-api-outliers.ipynb |
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# + id="iAy5RvwucBoD"
# Imports
import torch
import torchvision ... | CIFAR10 modulization/PyTorch_ResNet_Full.ipynb |
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# # Parameter identification example
#
# Here is a sim... | inference examples/Gaussian prior example.ipynb |
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import tensorflow as tf
import numpy as np
tf.set_rand... | Lab6_2. Zoo_Softmax_classification.ipynb |
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# %matplotlib inline
import slug
import os
import ... | demo/Dragonfly-1D-profile-HDF5.ipynb |
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# # Modeling and Simulation in Python
#
# Chapter 14
#... | code/chap14mine.ipynb |
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# # Predição do alfabeto de sinais
# ## Libs ... | notebook/model_construct.ipynb |
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"""
You can run either this notebook locally (if y... | examples/asr/notebooks/1_ASR_tutorial_using_NeMo.ipynb |
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# # Reservoir of Izhikevich neuron models
# In this s... | src/experimental_code/.ipynb_checkpoints/Izh_reservoir_stdp-checkpoint.ipynb |
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# # Chapter 6 Strings
# ### 6.1 A string is a sequenc... | 06-strings.ipynb |
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# # VGP 245 Assignment 1
# # Python Basics
# ### Ques... | Class 1/homework1.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# <a ... | _notebooks/MRS_Mstar_analysis/JWST_Mstar_dataAnalysis_usecase.ipynb |
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# <h1> Logistic Regression <h1>
# <h2> ROMÂNĂ <h2>
# <blockquote><... | Code/LogisticRegression.ipynb |
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from __future__ import division
import numpy as np
fro... | 2. Posterior_Model.ipynb |
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from kinase_binding.learning.data_analysis import ... | learning/.ipynb_checkpoints/spitting-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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# -... | nb_03_topic_modelling.ipynb |
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#export
from local.test import *
from local.basics im... | dev/21_vision_learner.ipynb |
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# + id="z_YqsRpmaMFF" colab_type="code" colab={}
#Description:This program de... | MLostraining.ipynb |
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# <table style="width:100%">
# <tr>
# <td style=... | processing.ipynb |
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# # An Introduction To `aima-python`
#
# The [aim... | intro.ipynb |
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# ### This notebook explores the binary arithmetic err... | notebooks/monte_carlo_dev/binary_arithmetic_error.ipynb |
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import numpy as np
import numpy.linalg as la
datasets... | eval/fp_soundness/.ipynb_checkpoints/Analyze_Soundness-checkpoint.ipynb |
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# # Information... | notebooks/information_theory.ipynb |
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# # Clustering NIST headlines and descriptions
#
# ada... | notebook/nist_clustering.ipynb |
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# # 01-Introduction to Python for general usage
#
# ##... | python_introduction/01-python-for-data-science.ipynb |
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# %matplotlib inline
#
# # ORB feature detector and b... | digital-image-processing/notebooks/features_detection/plot_orb.ipynb |
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# This script is used to make the "WHAM meta files... | unmaintained/_GL_alt/Python_notebooks_KL_new/EMUS_scripts/Make_meta_files(step2).ipynb |
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# <img alt="QuantRocket logo" src="https://www.quantro... | intro_zipline/Part3-End-of-Day-Analysis-With-Alphalens.ipynb |
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# + [markdown] id="WnAa-QR1oeL4" colab_type="text"
# # Imports
# + id="d6NRf... | src/09_Section_9_Introduction_to_Neural_Networks_and_How_to_Use_Pre-Trained_Models/02_Download_the_Complete_Notebook_Here/09 Neural Nets Pretrained Image Classification.ipynb |
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# # **强化学习——Deep Deterministic Policy Gradien... | docs/practices/reinforcement_learning/deep_deterministic_policy_gradient.ipynb |
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# # Solution to Kaggle Problem 'Digit Recognizer'
# *... | .ipynb_checkpoints/3rdapproach-checkpoint.ipynb |
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# # Pandas - Reorder Columns
# Swap two columns, or ch... | Pandas/Pandas Reorder Columns in DataFrame.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/memtime.ipynb |
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# # Benchmark FRESA.CAD BSWIMS final Script
#
# This ... | benchmarking_FRESA.ipynb |
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# # 2. Tree cover widget
#
# The default view for the ... | Global_Widgets/Global_Tree_Cover_Widgets.ipynb |
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# # Jacobi Example
# depe... | papers/copper-mountain-2021/jupyter/1d_jacobi.ipynb |
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using Printf
using Sta... | notebooks/Neural free convection.ipynb |
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#... | 06 pandas time utilities.ipynb |
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# # Mean-Variance Optimization
# MPT solves for the o... | ml4trading-2ed/05_strategy_evaluation/04_mean_variance_optimization.ipynb |
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# # Transfer Learning
#
# A Convol... | 05c - Transfer Learning (Tensorflow).ipynb |
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import pandas as pd
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# # Working with Compute
#
# When ... | mslearn-aml-labs/04-Working_with_Compute.ipynb |
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# + id="YyeVlSYkhahF" cellView="form"
#@title Imports, initial setup (Ctrl+F9... | demo/notebook_cyclicvoltammetry_peakdetect.ipynb |
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# ## 其他的迭代环境
# ### 1. for 循环使用了迭代协议；
# ### 2. 任何从左到右扫... | Chapter 14 Iterations and Comprehensions (2).ipynb |
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# # COMP 534 - Applied Artificial Intellig... | COMP534-AppliedArtificialIntelligence/COMP534-CA1.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | nb/2016_spring/lecture-6.ipynb |
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# #### Support Vector Machine (SVM) is a supervised ma... | Using SVM.ipynb |
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# ## Comparing Python vs TensorFlow Performance
#
# To... | Tutorial/Supplementary: Jupyter Notebooks/Supplementary: Benchmark/Benchmark.ipynb |
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# ## Car Number Plate Detection using OpenCV
# This c... | Audio Visual/Problems/CarNumberPlateDetection_OpenCV.ipynb |
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# # Implementing logistic regression from scratch
#
# ... | Courses/Machine Learning Classification/Implementing logistic regression from scratch.ipynb |
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import pandas as pd
import numpy as np
import json
da... | risk-evaluation/1. location history preprocessing.ipynb |
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import numpy as np
import matplotl... | 2016-05-18_1633/.ipynb_checkpoints/Nam12-checkpoint.ipynb |
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# Lab 12 Charac... | Practice5/15_Long_CHar_RNN.ipynb |
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#02_end_to_end_machine_learning_project 练习#
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#... | Untitled1.ipynb |
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# + [markdown] id="uQ62eZUEvexJ"
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# + [markdown] deletable=true editable=true
# # Projec... | notebooks/sandbox.ipynb |
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# ## ME7: Neural Networks
#
# We will have serveral ex... | ME7_NN/.ipynb_checkpoints/NN_basic-checkpoint.ipynb |
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# <small>
# Copyright (c) 2017 <NAME>
#
# Permission i... | Chapter15-Scikit-Learn/Scikit-Learn-Notebook-8-Datasets.ipynb |
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# ## Immutability
name = "Sam"
name[0] =... | Section 3: Python Object and Data Structure Basics/String Properties and Methods.ipynb |
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# # Setup
PIXIV_USERNAME = "userbay"
PIXIV_PASSWORD =... | notebooks/pixivCrawler.ipynb |
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# + id="zXWF5wD-8PIs"
from sklearn import datasets
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import os
import random
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import numpy as np
import matplotl... | implementation/timings/graphs.ipynb |