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import collections
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import numpy as np
import... | scoring/peptide_scoring_mhc1.ipynb |
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# + [markdown] id="d7d28381-b272-414e-8bf0-2531457245f... | machine_learning/pca_transform.ipynb |
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#imports here
i... | working/West_Nile_ryan.ipynb |
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# Import AWS and Sagemaker SDKs and get... | 6_MODELS_SCORING.ipynb |
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# remove the notebook root logger.\n",
import logg... | docs/PyAF_cross_validation_air_passengers.ipynb |
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# # Robust Linear Regression
#
# This example has b... | docs/notebooks/t_regression.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | lecture5/Numpy.ipynb |
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using DiffEqBase
using Sundials
using DiffEqSensit... | iJulia/ConstantTPH2Combustion.ipynb |
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import json
from sklearn.model_selection import tr... | classification/SGD_example.ipynb |
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# + id="1PCuw7SbWyCB"
# + id="y_b4oGp_W4My"
# + [markdown] id="ZOFw43TgW0... | Week-11/april_8_dh_workshop.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | demo/03.GE/ge_validation_demo.ipynb |
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# # Example Notebook
#
# ### Description
# This not... | notebooks/example.ipynb |
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import seaborn as sns
penguins = sns.load_dataset("... | SQL/seaborn1.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | Project/A Complete Reinforcement Learning System/Assignment2.ipynb |
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import pandas as pd
titanic=pd.read_csv('titanic_train... | titanic_data_analyses.ipynb |
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import pandas as pd
import numpy as np
import matplotl... | my_waight.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | MetricaBasicAnalysis1.ipynb |
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# # Classification using Stochastic Gradient Descent
#... | Classification/Stochastic_grad_descent.ipynb |
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# # 卷积神经网络
# ### Pytorch的卷积实现
import torch
import tor... | code/lecture3-torchCNN.ipynb |
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# # What books topped the Hardcover Fiction NYT best-s... | foundations_hw/05/Homework5_NYT.ipynb |
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# # DB stats pre-process
# Every hour, refresh the res... | core/collection/hourly/25_dbstats_preprocessing.ipynb |
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import os
import numpy as np
import h5py
import matplotlib.pyplot ... | demo.ipynb |
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# # Criaçã... | deliver/Atividade_2_1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Style_Transfer_Demo_InceptionV3_Dynamic_Shape.ipynb |
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def federalincometax2018(grossincome,pretax):
"""F... | Examples-galenmckinley/FedTax2018_share.ipynb |
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# + [markdown] id="ZuT-xvYQD-t5" colab_type="text"
# #... | PDS Resources/P4DS4D2_07_Getting_Your_Data_in_Shape.ipynb |
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# <img style="float: right;" src="https://docs.expert... | nlapi/play_with_expertai_nlapi_v1.ipynb |
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/ + [markdown] azdata_cell_guid="03ba4086-155b-41c6-ba97-2ee918765f... | samples/04-graph/graph.ipynb |
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# Create a logging decorator
from functools import wr... | days/22-24-decorators/scratch_3.ipynb |
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# # Train a category classifer: given the description ... | category_classifier/classifier.ipynb |
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# # Example Seldon Core Deployments using Ksonnet
#
#... | testing/notebooks/ksonnet_cluster_wide_tests.ipynb |
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# ## Import Packages
# +
import numpy as np
import ma... | Churn_Predictor.ipynb |
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from pymongo import MongoClient
import datetime
import... | notebooks/9.3. Building Titles Collection.ipynb |
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# ## Importing and prepping data
import pandas as pd
... | notebooks/development/09_16_18_Regional_PCA_NN.ipynb |
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# # Trajectory Clustering with cuSpatial
#
# cuSpatial... | cuspatial/trajectory_clustering.ipynb |
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# # Reverse a String
#
# This interview question requi... | code/algorithms/course_udemy_1/Recursion/Recursion Interview Problems/Recursion Problems - SOLUTIONS/Recursion Problem 1 - Reverse String - SOLUTION.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplo... | courses/dl1/lesson4-imdb.ipynb |
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from opentrons import simulate
from opentrons.driv... | notebooks/S3/test_modulec_v2.ipynb |
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# ## MATH MODULE ~
import math
# +
# help(math)
# -
... | Section 14 - Advanced Python Modules/Lec 107 - Math & Random Module.ipynb |
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from scipy.io import loadmat
from scip... | Preparation_talk/4th_cumulent/sim_4th.ipynb |
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# # 8. Training with Weighted Loss
# Classifier traini... | ResNet_Analysis/8. Training with Weighted Loss.ipynb |
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# 4/30 ~ 3/1 2달간 총 3675개(3시간 40분) *50개(3분)
## 입력값... | scraping/press/88.press_0.ipynb |
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#Detecting credit card fraud cases using Naive Bay... | Fraud_Detection-NB.ipynb |
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# # THE VACUUM WORLD
#
# In this notebook, we will ... | vacuum_world.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
# ... | Time Series/ETS Decomposition.ipynb |
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# # Sustainable energy transitions data model
... | code/netset8barebone-new-q5.ipynb |
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# 包含A-Z字母的消息正在使用以下映射编码为数字：
# 'A' -> 1
# 'B' -> 2
# ... | Dynamic Programming/past/91. Decode Ways.ipynb |
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# + [markdown] colab_type="text" id="e4TNC-3LszlF"
# # Training a Convolution... | datathon/mimic_cxr/mimic_cxr_train.ipynb |
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# # Coding Style
# ## Design for portability
#
# Note... | notebooks/01.04-Coding.ipynb |
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# + [markdown] id="wsqK_L8dCDPE"
# #Section 3: Convolutional Neural Networks ... | Convolutional_Neural_Networks_(CNNs).ipynb |
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# ## Python not in the Notebook
# We will often want ... | ch04packaging/025TextFiles.ipynb |
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# + [markdown] id="skzB79nE-Dco"
# # Colab-pytorch-ima... | 5_(small)_ResNet.ipynb |
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import pandas as pd
import sqlite3
conn = sqlite3.con... | notebooks/AirBnB_db_testing.ipynb |
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# <h1 align="center">tqdm</h1>
# <img src="https://raw... | DEMO.ipynb |
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# + slideshow={"slide_type": "slide"}
# -*- coding: utf-8 -*-
"""
Example script to serve as starting point for displaying the results of the ... | notebooks/evaluate_reconstruction_brain_MAP.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_Python_Assignment.ipynb |
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# # Bidirectional Recurrent Neural Networks
# :label:`sec_bi_rnn`
#
# In sequence learning,
# so far we assumed th... | d2l-en/mxnet/chapter_recurrent-modern/bi-rnn.ipynb |
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# # <b>Introduction<b>
# ## <b>Project Outline <b>
#
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# HIDDEN
from datascience import *
pat... | notebooks/09/2/Iteration.ipynb |
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# # Symbolic Mathematics in Python
# There are times... | symbolic_math.ipynb |
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# <pre>
# /* Copyright (c) 2020 <NAME> <<EMAIL>>
# *... | PDFMiner_test/.ipynb_checkpoints/pdfminer_extract_text_cordinate-checkpoint.ipynb |
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# # Continuous Training with Kubeflow Pipeline and Ver... | immersion/kubeflow_pipelines/pipelines/labs/lab-02_vertex.ipynb |
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"""
Day 2 of kaggle's SQL Scavenger
"""
from goog... | HackerNews.ipynb |
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# + id="9-XIpD76Ca2J" colab={"base_uri": "https://localhost:8080/"} outputId=... | Day-74/StockMarket.ipynb |
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# # Bert NER on SageMaker using PyTorch
#
# This uses ... | BertNER.ipynb |
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# Notebook used to play with visualisations, graphs, r... | notebooks/graphs.ipynb |
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# + id="lbGcUXiXy0A6"
import pandas as pd
import numpy as np
import matplotli... | Gender_Prediction_4_Predictions_Methods.ipynb |
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# ## Macroparasite model from May and Anderson (1978)
#
# *Author*: <NAM... | notebooks/mayanderson1978/r_desolve.ipynb |
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# ### Variables
# - Variabl... | Tensorflow/TensorLearn2.ipynb |
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# + [markdown] deletable=false editable=false nbgrader... | Pytorch Practical Tasks/1_2_logistic_regression.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | tests/ml-books/05.02-Introducing-Scikit-Learn.ipynb |
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# ### Lp 范数
#
# $||x||_p = (\sum_{i=1}^n|x_i|^p)^{\fra... | PolynomialRegression/9.L1-L2-Elastic-net.ipynb |
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# # Welcome to Exploring MIMIC2 Data
from IPython.dis... | m5_mimic2/ROADMAP.ipynb |
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# ## Word level Seq to Seq
# Note that this encoder de... | SequenceToSequenceKeras/MovieDialogues-Improved.ipynb |
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# **Run the following two cells before you begin.**
#... | Data science Mini Project-2/Cross-Validation_Grid_Search_with_Random_Forest.ipynb |
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# + pycharm={"name": "#%%\n"}
import numpy as np
from... | 03_06_compare.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Code/Model.ipynb |
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# + [markdown] id="Ic4_occAAiAT"
# ##### Copyright 2019 The TensorFlow Author... | site/ja/tutorials/keras/text_classification_with_hub.ipynb |
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from IPython.core.interactiveshell import Interact... | data_management/megadb/importer_notebooks/megadb_add_ubc.ipynb |
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# <center>
# <h1> INF-285 - Computación Científica... | SC1v2/10_Numerical Quadrature.ipynb |
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# Code modified from <NAME>
# link to full article... | SimpleParallelScript.ipynb |
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from sklearn.svm import LinearSVC
from skl... | helper.ipynb |
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import pandas as pd
from tensortrade.features.sca... | examples/test_features.ipynb |
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# ## Recommendations with MovieTweetings: Collaborativ... | lessons/Recommendations/1_Intro_to_Recommendations/.ipynb_checkpoints/4_Collaborative Filtering - Solution-checkpoint.ipynb |
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import numpy as np
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# + id="lwBNzAQIzcXw" colab_type="code" colab={} executionInfo={"status": "ok... | analise-visualizacao-de-dados/Treinamento_pandas_2.ipynb |
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# # NANOOS SOS to WMS (SensorML > geopandas)
# 6/2/201... | NANOOS_SOS_to_WMS.ipynb |
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# ### Installation
#... | Real_Data/Buenrostro_2018/run_methods/Cicero/Cicero_buenrostro2018.ipynb |
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# prerequisite package imports
import numpy as np
... | matplotlib&seaborn/Part 1 Univariate dist/Scales_and_Transformations_Practice/Scales_and_Transformations_Practice.ipynb |
# + [markdown]
"""
<table align="left">
<td>
<a target="_blank" href="https://colab.research.google.com/github/antmicro/tensorflow-arduino-examples/blob/master/examples/hello_world/hello_world_build_binary.ipynb"><img src="https://raw.githubusercontent... | examples/hello_world/hello_world_build_binary.ipynb |
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# # Single FC-NN (PyTorch) Logging with Checkpoints
#... | client/workflows/demos/pytorch-logging.ipynb |
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# # scona
#
# scona is a tool to perform network analy... | tutorials/tutorial.ipynb |
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# ## 2020년 6월 5일 금요일
# ### leetCode - 29 : Divide Two ... | DAY 101 ~ 200/DAY120_[leetCode] Divide Two Integers (Python).ipynb |
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# + id="LilLlMhZPd9x" colab_type="code" colab={}
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# # Example Scenario 1: Generating embeddings for Conc... | examples/Example1 - Embeddings.ipynb |
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# # Document Clustering - <NAME>
# ### Write a program... | Document-Clustering.ipynb |
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# #ATP Men's Tennis Hierarchy Inference Us... | ATP_Mens_Tennis_Prediction.ipynb |
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# # Interest Rate Swap
# *Swaps are multiperiod extens... | interest_rate_swap.ipynb |