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import netw... | IPL_2019 .ipynb |
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# # Module 3: Image S... | module3/part3.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# #... | hws/HW1_numpy_pandas_pr/HW1_numpy_pandas_pr_SviridovOleg.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | HolaGitHub.ipynb |
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# # ** IMPORT PACKAGES: **
# + pycharm={"name": "#%%\... | notebooks/circles/train_circles_pairs.ipynb |
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# # 2-4.4 Intro Python
# ## Working with Files
# 4.1 F... | Python Fundamentals/Module_4_4_Python_Fundamentals.ipynb |
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# + [markdown] id="BazmryhqKyZk"
# # Transfer learning... | modules/transfer_mmar.ipynb |
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# ## <small>
# Copyright (c) 2017-21 <NAME>
#
# Permis... | Notebooks/Bonus02-KerasPart1/Bonus02-Keras-7-Save-and-Load.ipynb |
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# ## Variational Genertion of Thermofield Double State... | notebooks/tfd.ipynb |
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# # sentense #1
# ## not working due to en_processing
... | python_ai_chat/py/3_NLTK.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | Categorical Feature Encoding Challenge/bayes-logit.ipynb |
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# + colab={} colab_type="code" id="qhSeHNGL8bwz"
impor... | notebooks/Introduction_to_DS/distr.ipynb |
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# <img src="../../../images/qiskit-heading.gif" alt... | appendix/teach_me_qiskit_2018/w_state/W State 1 - Multi-Qubit Systems.ipynb |
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# # Structure selection strategies
#
# Thi... | notebooks/03_structure_selection_strategies.ipynb |
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# # Using the `Network` object
#
# Let's read in a sample M... | notebooks/4.1. Using Network - Accessing Data.ipynb |
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# import the turtle module to use turtle graphics ... | Untitled.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | Salary Data Exploration/Salary Data Exploration.ipynb |
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import pandas as pd
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from matplotlib... | Scripts/Figure2/Figure2.ipynb |
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# ## Locally weighted regression
# 1) Read and Normali... | lowess/Lowess.ipynb |
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# # DataFrame Operations
#
# ## About the Data
... | ch_04/2-dataframe_operations.ipynb |
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# ### 별찍기
# ```
# 예제를 보고 규칙을 유추한 뒤에 별을 찍어 보세요
# ```
a... | coding_test/baekjooon_10996.ipynb |
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from sklearn.datasets import load_digits
digit=load_d... | svm_digit.ipynb |
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import os
for dirname, _, filenames in os.walk('/kaggl... | dl-human-activity-recognition-with-smartphones.ipynb |
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# %pylab inline
import matplotlib.pyplot as plt
import... | notebooks/.ipynb_checkpoints/TF-FIN-5-multi_sampling-checkpoint.ipynb |
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from zipfile import ZipFile
import re
import json
impo... | Data-Pre-Processing.ipynb |
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# # Recommendations on GCP with TensorFlow and WALS wi... | courses/machine_learning/deepdive/10_recommend/endtoend/endtoend.ipynb |
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# <h2>The Strang Day One Matrix</h2>
#
#
# +
# These ... | 00.AllPythonCode/DayOneMatrix.ipynb |
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# # Network model for Papers Past
# Here I'm going to... | analysis/network_modelling.ipynb |
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# # ATP rankin... | atp-rankings-stats.ipynb |
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# # 使用不确定性估计工具箱
#
# ## 概述
#
# 贝叶斯神经网络的优... | tutorials/notebook/apply_deep_probability_programming/apply_deep_probability_programming_toolbox.ipynb |
# -*- coding: utf-8 -*-
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# ### SVM Solution à vaste marge pour les cas linéai... | Notebooks/SVM.ipynb |
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import pywikibot as pb
site = pb.... | reviewer.ipynb |
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# ### Note
# * If... | HeroesOfPymoli/main.ipynb |
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import ipywidgets as widgets
from ipywidgets impor... | notebooks/details-1.ipynb |
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# + [markdown] azdata_cell_guid="d0... | _notebooks/2020-05-02-Native-Commands.ipynb |
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# # L... | lectures/lecture5/lecture-5.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# %matplotlib inline
#
# 분산 데이터 병렬 처리와 병렬 처리 파이프라인을 사... | docs/_downloads/e081556e6a716888948cd45335518ed9/ddp_pipeline.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
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# %load_ext autoreload
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# TODO allow Monte Carlo runs on output data struc... | cadCADsimulation.ipynb |
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# + [markdown] tags=[]
# # Get Missing Lat... | 3_geocode_missing_locations.ipynb |
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# ## MNIST Training, Compilation and De... | sagemaker_neo_compilation_jobs/mxnet_mnist/mxnet_mnist_neo.ipynb |
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from collections import namedtuple
from collection... | notebooks/biolatency_charts/biolatency_charts.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="... | code/04-neural nets/glove_lstm.ipynb |
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# # Add labels to Nodes
import ipycytoscape
data = {... | examples/Labels.ipynb |
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# %load_ext autoreload
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from childes_m... | notebooks/epic-kitchens2/3.1-epic-kitchens-get-decay-params.ipynb |
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sys.path.append("/root/DVA/server/")
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# # test of using astropy Tables as chunk data
#
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# ### Level 4 - Normalized DMSO Profiles C... | 1.Data-exploration/Profiles_level4/cell_painting/1.cellpainting_calculate_cpd_median_score_spherized.ipynb |
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# + id="kxC9ZgRO5woq" colab_type="code" colab={"base_uri": "https://localhost... | matrix_one/Day3.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module3-quantile-regression/LS_DS_233_Quantile_Regression.ipynb |
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receiver = '<EMAIL>'
sender = '<EMAIL>'
pwd = '<PASSW... | multiple.ipynb |
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from numpy import pi, cos, sin, lin... | 2019/jupyter_3d/plotly_3d.ipynb |
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#objdetect module of opencv .
#this co... | objdetect module/face_and_eyes_detection.ipynb |
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# + id="6LBlfq5fiNOW" colab_type="code" outputId="58d762e4-6e39-459c-f081-cbd... | finch/tensorflow1/multi_turn_rewrite/chinese/main/pointer_gru_train_clr_multi_attn.ipynb |
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import numpy as np
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import skimage.io ... | DFT2DTrain_Crop.ipynb |
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#importing required libraries
import pandas as pd
impo... | (t3) Supervised Learning/Shashank_supervised_learning/Shashank_Xgboost_Supervised_learning.ipynb |
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import zdb
import glob
import os
import oyaml as yaml
... | notebooks/zinv/3_background_prediction/1_wjets/1.1_dists-mc.ipynb |
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df = pd.read_csv('... | Titanic.ipynb |
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# + [markdown] id="2-4lzQTC9yxG" colab_type="text"
# # Stanza: A Tutorial on ... | demo/Stanza_CoreNLP_Interface.ipynb |
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# ### get test labels
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import shutil
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# + [markdown] id="6xKzoC9-0pgy"
# # Dictionary Comprehension
# + [markdown]... | Python/1. Python Basics/Notebooks/1. The Basics.- Startups/1.0 Fundamentals Continued/1.3 Dictionary Comprehensions.ipynb |
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import random
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import matplotlib.pyp... | endsem/.ipynb_checkpoints/genetic_algorithms-checkpoint.ipynb |
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# # Utilizando a base do Diário Oficial da União
#
# -... | br_dou_exemplos_20210320.ipynb |
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# # 2. GloVe model
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using Plots, Random
includ... | notebooks/Figure-3c.ipynb |
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# # Naive Bayes Classifier for Natural Language Proces... | naive_bayes.ipynb |
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import math
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# GET /convert
req = json... | runbooks/convert.ipynb |
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# ### Generate r... | scripts/rpoB.ipynb |
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# # Cross Validation & Grid Search
# Parameter Settin... | Preprocess_FeatureExtraction_GamePrediction/CVGS_AvgAttributes/.ipynb_checkpoints/01_CVGS_yr1_feature3-checkpoint.ipynb |
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# + [markdown] id="RbFPj0vmjh5a"
# #**Linear Algebra (CpE210A)**
# + [markdo... | Rodriguez_Lab1.ipynb |
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# import modules
import requests
import bs4
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from pycalphad.tests.datasets import *
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# + id="Et4EmBdetQYs" colab_type="code" outputId="ba9701d9-54ec-47e2-9aa7-dc1... | program/NuralNetwork.ipynb |
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w... | notebooks/.ipynb_checkpoints/exploratory_1-checkpoint.ipynb |
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# ### **`HyperComplex Plots`**
#
# The `... | plot.ipynb |
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from __future__ import print_function
import os
im... | notebooks/Gesture-RNN-Keras-Version.ipynb |
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# # Extract FVCOM time series from aggregated OPeNDAP ... | UGRID/.ipynb_checkpoints/FVCOM_timeseries-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # Data, Da... | data_modeling.ipynb |
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from datetime import datetime
from binance.client ... | Untitled1.ipynb |
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df=pd.read_csv("https://archive.i... | Arhythmia.ipynb |
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# + [markdown] colab_type="text" id="N6ZDpd9XzFeN"
# #... | pipelines/kubeflow/simple-text-classifier/clean.ipynb |
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import torch
from basic_unet import UNet
from testnet ... | brats/11_testnet_rise_segment_ignore.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | squash trainer/notebooks/music_transformer/Train.ipynb |
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# # Predicting the Past, United States Extension
# ##... | input/predicting-the-past/united_states_extension/united_states_extension.ipynb |
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# Author: <NAME>, <EMAIL>
#
# This notebook demonstrat... | Source/Notebooks/Task1b_train_and_validate.ipynb |
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# # Map / Reduce en python avec mrjob
#
# ... | demoMapReduceMrJob.ipynb |
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# <div style="text-align:center"><a href="... | NiceMatrix.ipynb |
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# # Setup
#
# On some systems, this cell needs to be r... | notebooks/numerical_experiments.ipynb |
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# # Dynamics with nearest neighbors interactions
# [In... | notebooks/6-simulations/64-lattice_2d_nneighbors_loop_n2.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | sorting_searching/merge_sort/merge_sort_challenge.ipynb |
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# # Evaluate, optimize, and fit a classifier
#
# ## B... | testing/northern_cropmask/3_Train_fit_evaluate_classifier_RS.ipynb |
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# ## Map Mutations to Protein-Drug Interactions
# Here... | pipeline1/5-MapToDrugInteractions.ipynb |
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# ## User_List
#
# : 고객에 대한 전반적인 정보가 들어있는 파일
from ml_... | si/02_User_list_EDA.ipynb |
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# # 作業目標:
#
# 了解數學式與利用超參數調整求導梯度下降的過程
# # 作業重點:
#
... | 2nd-ML100Days/homework/D-074/Day74-Gradient_Descent_HW.ipynb |
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# # Note!
#
# The mixed likelihood doesn't expose the ... | Mix Integral Test Exp Kernel.ipynb |