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from keras.models import Model
from keras.layers i... | LSTM EVAL.ipynb |
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import pandas as pd
import numpy as np
import os
from ... | Data_Prep.ipynb |
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# + [markdown] id="QOgkcaFdNLt5" colab_type="text"
# ## Exercise 2: Reading D... | Lesson08/Exercise02.ipynb |
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# <table> <tr>
# <td style="background-color:... | bronze/B17_Two_Probabilistic_Bits.ipynb |
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# # Working with Texts in Python
# Adapted from a less... | 01-IntroToPython/01-WorkingWithTexts.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | A Complete Reinforcement Learning System (Capstone)/Week 2/Notebook_ MoonShot Technologies/Assignment1-v1.ipynb |
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import glob
import cv2
import numpy as np
import torch... | scratch_notebooks/AdrienLE_loss_kaggle_2018.ipynb |
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import pandas as pd
import numpy as np
from skle... | part5/day4/day4.ipynb |
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# + [markdown] graffitiCellId="id_mzvh44q"
# # Min Ope... | Course/Data structures and algorithms/4.AdvancedAlgorithms/1.GreedyAlgorithms/4.Min_Operations.ipynb |
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# # Prediction of Score on basis of hours of study usi... | GRIP Task- 2.ipynb |
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# # Exercise 3: Perceptron
#
# ## 3.1 Perceptron for d... | exercise2/lab3.ipynb |
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import numpy as np
import cv2
import matplotlib.pyplot... | Notebooks/NB2.ipynb |
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import numpy as np
import pandas as pd
import matp... | Strategy&Research/2.Single Factor.ipynb |
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# # Load Packages
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import sklearn.datasets
import ... | finalterm_project - randomizedsearch.ipynb |
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# # HW2
#
#
# Before submitting your **HTpy-HW2.ipynb*... | HW2/gradebook_202101-14765_HW20220Assignment_2021-03-11-18-59-42/HW 2 Assignment_Team 1_attempt_2021-02-25-22-15-44_Group1_HW2.ipynb |
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# <a id='top'> </a>
# Author: [<NAME>](http://www.jame... | notebooks/effective-area.ipynb |
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# # One Shot Learning with Siamese Network... | Siamese-networks-danny-copy.ipynb |
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from sklearn.datasets import load_iris
from sklear... | self/Untitled1.ipynb |
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# This notebook creates a basic Convolutioin Neura... | .ipynb_checkpoints/basicConvNet_julia-checkpoint.ipynb |
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import numpy as np
import plotly.graph_objs as go
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# + colab={"base_uri": "https://localhost:8080/"} id="TOn4ozbs9vS1" execution... | tutorial4.ipynb |
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# # Pandas
#
# *pandas* is a Python library for data analysis. It offers a number of data exploration, cleaning and transformation operations ... | _numpy_pandas/Introduction to Pandas.ipynb |
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import matplotlib.pyplot as plt
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import xgboost
import shap
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# _You are currently looking at **version 1.5*... | Assignment+3.ipynb |
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imp... | bert.ipynb |
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import pandas as pd
import numpy as np
df = pd.re... | 1.make-csv-of-frequency-nouns-and-adjs.ipynb |
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# <h3>Simulación matemática 2018 </h3>
# <div style="b... | Modulo2/Clase10_OsciladorArmonico.ipynb |
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# # Action and Event Extractor
# ## Extract essential... | Scripts/AnE Extractor-Copy1.ipynb |
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#A notebook for Tweet Sentiment Analysis by <NAME>... | Tweet_Sent_Analysis.ipynb |
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sample_text = "Does this thing really works? lets see.... | NLTK.ipynb |
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import pandas as pd
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fro... | Trend of Gun Violence in USA.ipynb |
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# + [markdown] id="NYex4Un2E7VO"
# -checkpoint.ipynb |
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# + [markdown] id="E2iZ4xXqrcs6"
# ## Word Embeddings
#
# - Word embeddings t... | Class Notebooks/Lab 08 - Word Embeddings.ipynb |
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# # Ex.07 - More Printing
# ------
#
# ### General Ins... | 2017_SHAW/ex07_Jupyter.ipynb |
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import sys
import os
sys.path.append(os.path.expan... | notebooks/.ipynb_checkpoints/LocSensAttention-checkpoint.ipynb |
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# # Challenge 01: Diagonal Unitary Circuit Composer
#
... | challenge-2020.11-nov/amirebrahimi/qosf-monthly-challenge-01.ipynb |
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# # Yelp Review Data Project
# > analysis on Yelp data... | _notebooks/2020-06-05-yelp-review.ipynb |
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import sys
sys.path.append(os.path.join(os.path.abspath(... | notebooks/explore/Graph Tools Primer.ipynb |
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# # Factory Planning II
#
# ## Objective and Prerequis... | Gurobi/Gurobi-modeling-examples-master/factory_planning_1_2/factory_planning_2.ipynb |
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# # Quantum Key Distribution
#
# Quantum key distribut... | example/qkd.ipynb |
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# # Movie reviews sentiment analysis with Naive Bayes
... | projects/bayes/bayes.ipynb |
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# # 16. 파이썬으로 이미지 파일 다루기
#
# **파이썬... | FUNDAMENTALS/Node_16/[F-16] Only_LMS_Code_Blocks.ipynb |
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import pylab as pl
import pandas as pd
import nump... | Part 2/GaussianSVM.ipynb |
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#
# # Learning Objectives
#
# In this lab, we will lea... | hpc/multi_gpu_nways/labs/CFD/English/C/jupyter_notebook/mpi/cuda_aware.ipynb |
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# ## Density Estimation
#
#
# Relates to all of the pr... | lectures/notes/Lecture7-density-estimation-1.ipynb |
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# ## Lecture01 Hello, Python
#
# 第01讲 你好，Python
# ###... | source/2022/NotOnline/001_hello_python.ipynb |
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import pandas as pd
table = [[0]*6] * 2
pd.DataFrame(t... | jupyter-notebooks/backup/UCSD 400___ L4 DHDS -- Deep Learning and AI -- exercise.ipynb |
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# # SQLAlchemy-Mutable examples
... | examples.ipynb |
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import numpy as np
import matplotlib
import matpl... | vis_dr.ipynb |
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from sympy import *
init_printing(use_unicode=True, us... | bloch-sphere-rotations.ipynb |
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# # Feature Engineering
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from pathlib import Path
... | 02_1_feature_engineer.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | Short_study_of_the_Lempel-Ziv_complexity.ipynb |
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# + [markdown] id="c1d10341-001" colab_type="text"
# #PoliceBot
# A tool that... | colabs/policebot.ipynb |
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# **[OFE-01]** 必要なモジュールをインポートします。
import tensorflow a... | Chapter04/ORENIST filter example.ipynb |
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# # 多GPU训练
# :label:`sec_multi_gpu`
#
# 到目前为止，我们讨论了如何在CPU和GPU上高效地训练模型，同时在 :numref:`sec_auto_para`中展示了深度学习框架如何在CPU和... | pytorch/chapter_computational-performance/multiple-gpus.ipynb |
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# # Deep Q-Network implementation.
#
# This homework shamelessly demands you to implement DQN — an approximate Q-learning algorithm with exper... | week04_approx_rl/homework_pytorch_main.ipynb |
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# name: python38164bitpyudemyconda8c705f49a8e643418ce4b1ca64c8ab63... | Chapter3_BasicFeatures/Logic/is_vs_equality.ipynb |
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# ## > Import Packages
# ... | Class_img.ipynb |
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# <a href="https://colab... | tutorials/W1D2_ModelingPractice/student/W1D2_Tutorial2.ipynb |
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# # Model ... | evidence_files/model_verification.ipynb |
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# + [markdown] id="4DXwxt9r1bx_"
# ## A first (actually second) encounter wit... | lab_day1/day1_code02 keras basics [EXERCISE].ipynb |
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# # データサイエンス100本ノック（構造化データ加工編） - R
# ## は... | docker/work/preprocess_knock_R.ipynb |
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text='أنا والمعلم'
print(text.split(' '))
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import ... | notebook/procs-ar.ipynb |
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# <h2>Quadratic Regression Dataset - Linear... | xgboost/LinearAndQuadraticFunctionRegression/quadratic_xgboost_localmode.ipynb |
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# ##### Copyright 2020 The Cirq Developers
... | docs/tutorials/educators/qaoa_ising.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
im... | 01-Lesson-Plans/19-Supervised-Machine-Learning/2/Extra-Activities/02-Stu_Hyperparameters/Solved/Stu_Hyperparameters.ipynb |
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# ## Lagrange interpolation
#
# Given $(n+1)$ distinct... | slides/Lecture 05 - LH - LAB - Interpolation with python.ipynb |
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# load data
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data = pd.read_csv... | jupyter_notebook.ipynb |
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# # Linear Models
# <div class="alert alert-success">... | 14-LinearModels.ipynb |
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# # Sparameters SiPANN vs Lumerical FDTD
#... | docs/notebooks/03_components_SIPANN_vs_fdtd.ipynb |
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# # "Title"
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# - toc: true
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# author: <NAME> (<EMAIL>)
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# We'r... | database/tasks/How to do a hypothesis test for the difference between means when both population variances are known/Python, using SciPy.ipynb |
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# # refget-py tutorial
import refget
from refget i... | demo.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
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# # Doc2Vec Searching of Lang Database
#
# In this rec... | Lang_Doc2Vec.ipynb |
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semantic_network = nx.DiGraph()
relation_defs = {}... | notebooks/visualizing-umls.ipynb |
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# <b>Traçar um esboço do gráfico e obter uma equação d... | Problemas Propostos. Pag. 172 - 175/22.ipynb |
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# # Imports
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from ... | exercise1-line_chart/exerise-line_chart.ipynb |
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# # Futures
# +
# Import libraries
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# $$
# \newcommand{\mat}[1]{\boldsymbol {#1}}
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# # Law of Large Numbers
# ## Author: <NAME>
#
# Suppose an experiment h... | StatMathMethods/R/LawOfLargeNumbers.ipynb |