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# ### Preparing Envir... | Unet_3.ipynb |
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# # Plagiarism Text D... | 1_Data_Exploration.ipynb |
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# Run this again after editing submodules so Colab use... | main.ipynb |
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# # Predicting house prices using k-nearest neighbors ... | Regression/Assignment_six/week-6-local-regression-assignment-blank.ipynb |
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# # Beginner's Python... | session-four/subject_questions/session_three&four_finecon_exercises.ipynb |
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# # LeetCode #844. Backspace String Compare
#
# ## Que... | LeetCode/LeetCode_844BackspaceStringCompare.ipynb |
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# # Figure 4: Grism Dispersions Within a Grism Detecto... | nircam_jdox/nircam_grism_time_series/figure4_dispersions_subarrays.ipynb |
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# # Logistic regression tutorial
# +
## Do **not** c... | Machine-Learning-Codes/seventh assignment-logistic_regression/logistic_regression_assignment.template-Copy1.ipynb |
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# # NMT-Keras tutorial
# In this module, we are going... | examples/4_nmt_model_tutorial.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Midterm_Exam.ipynb |
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# ## Boolean Datatypes
x =1
x == 0
type(False)
bool... | Day_5/.ipynb_checkpoints/Boolean_Datatypes-checkpoint.ipynb |
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# Cross Entropy
# ====
#
# There's an excellent explan... | Cross-Entropy.ipynb |
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PATH='C:/Users/gptjd/OneDrive/Desktop/... | make_train_file_list.ipynb |
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# ## 5.3.2 Gamma distribution and Laguerre Chaos
#
# $... | Example 5.3.2.ipynb |
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# ## 1.[enumerate](#1)
# ## 2.[lambda](#2)
# ## 3.[pan... | .ipynb_checkpoints/utils-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | doc/Notebooks/AFM_3dplot.ipynb |
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# # Naïve Bayes Classifier
# http://scikit-learn.org/s... | Python_para_ciencia_de_datos/4ta_clase/NaiveBayes.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Solving combin... | content/ch-applications/qaoa.ipynb |
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import numpy as np
import pandas as pd
from tabulate i... | Python/Untitled.ipynb |
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# + [markdown] deletable=true editable=true
# # Building deep retrieval model... | courses/machine_learning/deepdive2/recommendation_systems/solutions/deep_recommenders.ipynb |
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import pandas as pd
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import matplotl... | Statistics_in_Python/statistics_in_py.ipynb |
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import pandas as pd
import numpy as np
import mat... | FORECASTING MODELS/ICICIBANK.ipynb |
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# MIT License
#
# Copyright (c) 2018-2021 <NAME> ... | applications/Compute accurate P.ipynb |
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# # Estimating with DataExpansionFitter
#... | docs/UsageExample-FittingDataExpansionFitter.ipynb |
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# ## Tutorial on how to combine different Fields for a... | parcels/examples/tutorial_SummedFields.ipynb |
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# # Welcome to Marketing Report
# author: <NAME> <br>
... | .ipynb_checkpoints/marketing_report-checkpoint.ipynb |
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# # Datetimes and timedeltas
#
# Python has s... | mini_book/datetime_timedelta.ipynb |
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from keras.preprocessing.image import ImageDataGenerat... | ImageAugmentation.ipynb |
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import pandas as pd
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im... | ext_eval/ext_eval_davidson.ipynb |
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# # Last Mile Delivery
# This is very famous and recu... | last_mile.ipynb |
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import matplotlib
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import numpy as np
import nu... | source/plotting.ipynb |
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# + [markdown] id="Y26YW3Mj2LHI" colab_type="text"
# <figure>
# <center>
# <i... | assignments/python-basics-assignment-1.ipynb |
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# # Анализ временных рядов
# ## <NAME>
# # Знакомство... | TimeSeries/TimeSeries.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HW_CNN__5VARIENTS_MNIST_DATASET.ipynb |
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import pandas as pd
import numpy as np
from et... | taxon_identification/fig5.ipynb |
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# # Finding Unusual Words in Given Language
from nltk... | 3-2-Finding-Unusual-Words-in-Given-Language.ipynb |
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from torch.distributions import MultivariateNormal
imp... | mmvae_hub/notebooks/kl__div_exploration.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/automated-machine-learning/forecasting-orange-juice-sales/auto-ml-forecasting-orange-juice-sales.ipynb |
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import tensorflow as tf
import numpy as np
from te... | Course-1/exercise-2-HandwritingRecognitionDNN.ipynb |
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# # Data Structure with Python Week 8
# ### Input a da... | Week 8/1-4.ipynb |
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import requests
import time
from fair_research_log... | threading_experiments.ipynb |
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class Solution:
def isValid(self, s: ... | 20validParen.ipynb |
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# %matplotlib inline
import numpy as np
... | Layers.ipynb |
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import cv2
from cv2.ximgproc import createFastLine... | linedect/line_detection.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | chatbot_improved.ipynb |
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# # Basic Plot
using PyPlot
x = 1:100
y = rand(10... | Notebooks/Data Visualization.ipynb |
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import torch
import torch.nn as nn
import torch.nn.fu... | zz_study_ws_04.ipynb |
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# ## how to plot millions of points?
import datashade... | Datashader_on_SDSS.ipynb |
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# # Install Olliepy
# %%capture
# !pip install -U Oll... | examples/regression_error_analysis_report.ipynb |
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# # Height-Balance Binary Sort Tree
#
# Given a sorted... | Daily/Height Balanced Binary Sort.ipynb |
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import yaml
#export
class AppConfig():
def __ini... | 40_Config.ipynb |
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# Tutorial: jupyter_knowrob
# ===
#
# In this tutorial we d... | lectures/tut0-jupyter-knowrob.ipynb |
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import numpy as np #importing numpy pack... | Python/Notebooks/Backwater curves.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
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# Welcome in the introductory template of the python g... | src/notebooks/243-area-chart-with-white-grid.ipynb |
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# # Motions with visous damping from Ikeda
# # Purpos... | notebooks/12.1_motions_ikeda.ipynb |
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import numpy as np
import astropy
import regions
impor... | Finding_Calculating_Duplicates.ipynb |
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# !pip install deeppavlov
from deeppavlov import build_model, configs
# We ... | examples/morphotagger_example.ipynb |
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import pickle
import numpy as np
def load_obj(name):... | generate_data_files.ipynb |
# + colab={} colab_type="code" id="AiWokO5On8Rr"
import tensorflow as tf
import numpy as np
from matplotlib import pyplot as plt
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('/tmp/mnist', one_hot=True)
# + colab={} colab_type="code" id="3GTOW509quc0"
num_row, num_col = ... | logistic_tensorflow/mlp.ipynb |
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# import networkx as nx
import numpy as np
import ... | Python/Baseline_model/SIR_UAU.ipynb |
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# # Using HEPData
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import json
import pyhf
import... | book/SerializationAndPatching.ipynb |
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# # A/B Testing - Pt. 1
#
# ## What is A/B testing?
# ... | ab_testing.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Multinomial_logistic_regression.ipynb |
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import numpy as np
import pandas as pd
from ipyshe... | examples/pandas.ipynb |
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import copy
import keras
import numpy as np
from model... | sudoku.ipynb |
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# ## Batched example 2
# This notebook is the second ... | examples/topics/batched_example/GSSHA_Workflow_Batched_Example2.ipynb |
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# # Assignment 3
# ES15BTECH11002
# ## Base class
# ... | Asn3/es15btech11002_Assign3(1 and 2).ipynb |
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# # Equilibration detection figure generation notebook... | paper/figures/fig_pmf/PMF_plots.ipynb |
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# layout: post
# title: "한장간 - 네트워크와 모델"
# author: 김태영
# date: 2017-01-27 04:00:00
# categories: Study
# comments: true
# image: http://tykimos.github.io/warehouse/2017-1-27_CNN_Layer_Talk_lego_10.png
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# ... | _writing/2018-1-2-One_Slide_GAN_Network_and_Model.ipynb |
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# Want to guess what the most popular pandas-related q... | modern_8_out_of_core.ipynb |
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# ### DSPT6 - Adding Data Science to a Web Application... | notebooks/LS333_DSPT7_Model_Demo_InClass.ipynb |
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import pandas as pd
from math import pow, sqrt
import ... | movie_final.ipynb |
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# # Qcodes+broadbean example with Tektronix AWG5208
#... | docs/examples/driver_examples/Qcodes+broadbean_example_with_Tektronix_AWG5208.ipynb |
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# # Regression techniques for the classic house price ... | Housing Price Prediction/Project.ipynb |
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# ## Fixing mistakes
# We're still in our git working... | ch02git/03Mistakes.ipynb |
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# + [markdown] colab_type="text" id="KFPcBuVFw61h"
# # Overview
#
# This cola... | research/deeplab/deeplab_demo.ipynb |
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# + [markdown] id="xD8tM1pd2NAu"
# # Song Embeddings - Skipgram Recommender
#... | _notebooks/2021-07-10-songs-embedding-skipgram-recommender.ipynb |
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# # 과제 - Transfer Learning
#
# 여기서 풀고자 하는 ... | 02CNN/transfer_learning_ex.ipynb |
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# # Constructing a Cancer-Specific Network
#
# __Intro... | Supplementary_Notebooks/Cancer Subnetwork Construction.ipynb |
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# # RBF Network
# ### 1. Implementation and study of ... | Lab07.ipynb |
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# ## ***<NAME>***
# ### ***Question 1***
# ### ***a)... | musawenkosi-python-assignment3.ipynb |
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#imports
import os
import tarfile
from six.moves impor... | HousingPrices/Housing.ipynb |
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import numpy as np
import pandas as pd
trade = pd.re... | Data Prep.ipynb |
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# ## Importing Libraries
import numpy as np
import gd... | notebooks/Clipping Raster.ipynb |
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# + [markdown] colab_type="text" id="2bhiZKFiIWbK"
# # Non-Federated EMNIST B... | tensorflow_federated/python/research/emnist_baseline/non_federated_emnist_baseline.ipynb |
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# + [markdown] deletable=false name="Ent\u00eate, Ph\u... | Chap-18-Section-18-2.ipynb |
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# # Dependent density regression
# In another [example... | docs/source/notebooks/dependent_density_regression.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | src/jupyter-notebooks/python_sql_interview_questions.ipynb |
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# # Part 1: What Does `TRTF` Look Like?
#
# **Tensor f... | experiments/Imputation-TRTF.ipynb |
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# + id="EpYPi_UAlsnP" colab_type="code" colab={}
# !pip install datadotworld
... | matrix_one/day3.ipynb |
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# Team Deep Divers submission for
# Brown Data Sci... | src/Data2040MidProj_part3_Final.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | -pneumonia_detection102.ipynb |
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sign () { echo "$(( $1 < 0 ? -1 : 1 ))"; }
x=0
y=$(($(sign "$... | notebooks/Untitled.ipynb |
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# 学习和使用支持向量机
#
# - 学习教材6.3、6.4节内容，调试运行相关代码。
# - 查阅sc... | L4-Support_Vector_Machine.ipynb |
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# # Here goes the title
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#
# Some description.
#
... | notebooks/example.ipynb |
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# # 10 Aves Dataset
#
# In this case we us... | data_processing/create10AvesDataset.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Shapel... | examples/_notebooks/shapely.ipynb |
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# # 1章 機械学習入門
# 必要ライブラリの宣言
# %matplotlib inline
impor... | notebooks/ch01-entry.ipynb |
# -*- coding: utf-8 -*-
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# # Probabilistic Programm... | lessons/notebooks/probprog/Probabilistic-Programming-2.ipynb |