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# Блокнот к вопросу https://ru.stackoverflow.com/quest... | python/1294279/.ipynb_checkpoints/ecg-checkpoint.ipynb |
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python argparse_type_int.py 100
python argparse_type_int.py fo... | notebook/argparse_demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Colab_ArteMaisComp.ipynb |
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# ## FLAG Example
# +
import argparse
from ogb.nodeproppred import DglNodePropPredDataset, Evaluator
import torch
from torch import nn
impo... | benchmark/dgl/FLAG.ipynb |
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# **2 September 2020**
#
# # Introduction: INFO 3350/6... | lectures/lec-09-02-intro.ipynb |
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import h5py
import condor
import copy
... | ipynb/simulate_protein_polychromatic.ipynb |
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# ## Identifyin... | notebooks/fun/poker.ipynb |
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# + [markdown] deletable=false editable=false id="NYJW... | Pytorch Practical Tasks/3_2_SVM.ipynb |
// -*- coding: utf-8 -*-
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// # Tastaturabfrage... | lessons/02_Grundlagen/18_Tastatur.ipynb |
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# # wagtail install
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$ pip install wagtail
$ wagta... | netplan/docs/01.CreateDjangoCmsProject_wagtail.ipynb |
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# # A couple of practical things
#
# ## Overview
#
# A... | lectures/AdminStuff.ipynb |
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import pandas as pd
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# first, let's create a toy datafram... | Chapter07/Recipe6--different-time-zones.ipynb |
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... | corso-data-science-2021/hands-on/05-geovis-and-dnn/exercises/exercise-deep-neural-networks.ipynb |
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% load_ext autore... | notebooks/biology/03_analyze.ipynb |
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# # Pulling data from (open) REST APIs
#
# [Big source... | notes/openapi.ipynb |
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from collections import defaultdict
class Solutio... | algorithms/496-next-greater-element-i.ipynb |
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# %matplotlib inline
import numpy as np
import pandas ... | Machine Learning - Coursera/machine-learning-ex1/ex1/_ex1 - Copy.ipynb |
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# %%
# %%
from sect_sens.constants import get_plotp... | oas_erf/notebooks/06_review/01_one_val.ipynb |
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# # Introduction to Natural Langugage Processing
# ##... | Introduction to NLP - Block - 1.ipynb |
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# + [markdown] colab_type="text" id="4bkNVc42_H9r"
# #... | 3d_segmentation/unet_segmentation_3d_catalyst.ipynb |
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import pandas as pd
import numpy as np
data = pd.Data... | NumpyAndPandasTutorial/PandasTutorial.ipynb |
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# # Setup of the AnnData object
# **Author:** [<... | notebooks/data_downloader.ipynb |
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import sys
sys.path.appe... | viz/attention_visualization.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab7_2_normalization_&_decay_&_L2_loss.ipynb |
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from notebook_utils import synthesize
... | demo.ipynb |
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# + [markdown] tags=["remove_cell"]
# # Bernstein-Vazi... | content/ch-algorithms/bernstein-vazirani.ipynb |
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# # t-SNE 範例
# (Optional) 若尚未安裝相關套件，執行下一行，然後 restart ... | homeworks/D061/Day_061_tsne_sample.ipynb |
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# <img align="left" src="https://ithaka-labs.s3.amazon... | exploring-word-frequencies.ipynb |
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# ### Creating Dataframes of Different Sta... | LUSDaUsdStablePool/LUSD-aUSD Stable Swap Pool.ipynb |
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from selenium import webdriver
browser = webdriver.Ch... | genie_scraping.ipynb |
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# + [markdown] id="e5O1UdsY202_"
# ##### Copyright 2020 Google LLC.
#
# Licen... | rigl/rigl_tf2/colabs/MnistProp.ipynb |
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# Neste tutorial, vamos tentar entender a lógica subja... | 006 - Bootstrapping/006 - Bootstrapping.ipynb |
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# # Parse copyright data
import pandas as pd
import x... | dataconstruction/ParseCopyright.ipynb |
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# # Steps for training detectron2 on custo... | train/soma_segmentation.ipynb |
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# Now that we've created a predictive model we can app... | Chapter11/chapter_11_03_filtering_chemical_libraries.ipynb |
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# ## EDA & Cleaning: Exploring continuous features
#
#... | ML - Applied Machine Learning Foundation/02.Exploratory Data Analysis and Data Cleaning/01.EDA & Cleaning - Exploring continuous features.ipynb |
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# [![AWS Data Wrangler](_static/logo.png "A... | tutorials/007 - Redshift, MySQL, PostgreSQL.ipynb |
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# # Limpieza de datos y preparacion df
# Basado en Hai... | 0B. Limpieza de datos y preparacion df.ipynb |
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# + [markdown] id="suspected-lambda"
# # Auxiliary Lin... | Auxiliary Lines.ipynb |
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import pandas as pd
import numpy as np
from enm.utils ... | notebooks/04-Signaling-related-effector-sensors.ipynb |
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import seaborn as sns;
import pandas as pd;
sales = p... | Seaborn - Crash Course/RowColumn.ipynb |
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# # Tutorial: Compressing Natural Language... | examples/python/03-tutorial-autoregressive-nlp-compression.ipynb |
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# Last updated on Apr 9, 2020
# # Demo script for the... | examples/nh2018_science/demo_script_for_nh2018.ipynb |
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# + id="lMWLFva9WIaG"
import os
import datetime
impor... | Jena_climate.ipynb |
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# <a href="http://cocl.us/pytorch_link_top">
# <im... | IBM_AI_Engineering/Course-4-deep-neural-networks-with-pytorch/Week-5-Deep-Networks/8.3.3.He_Initialization_v2.ipynb |
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a=open('comments.txt')
b=a.read()
d=b.split()
e={}
for... | Wordscount in commentstxt.ipynb |
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# # Make custom ARIBA database
#
# For the *N. gonorrhoeae* dat... | ARIBA/make_custom_db.ipynb |
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# # Exploring the *RMS Titanic* sinking in Neo4j
#
# T... | notebooks/0.2-pipeline.ipynb |
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# %load_ext autoreload
# %autoreload 2
import torch
i... | sw/test/stream/test_stream_shuffle_skewedsyncint.ipynb |
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# + [markdown] id="0DHmilV6qlC-"
# ## Index ##
# - Ein... | SEIR_Erweiterung_Corona.ipynb |
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# ## Support vector machine applicate a XOR
# +
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# + id="iKEPfQAGW_go"
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# # TinyFPGAで音源を作ってみる（計算メモ）
#
# [TinyFPGA BX](https://... | .ipynb_checkpoints/memdata-checkpoint.ipynb |
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# ## Plotting distributions on the same graph
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# # Simple... | 05_basic/string_list_tensor.ipynb |
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# ### Using bokeh with pandas
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# ### <span style="color:green"> Exercise: Creator </s... | solutions/01_intro.ipynb |
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#Plot Tools
imp... | Assignment 16 Part 1.ipynb |
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# ### Multi-Layer Perceptron
# - Dense layer, fully co... | 5.MLP_NumberClassifier.ipynb |
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# + [markdown] id="_T81rYsZbh4x" colab_type="text"
# # ASSIGNMENT 1
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# # Neural... | courses/machine_learning/deepdive/10_recommend/labs/hybrid_recommendations/hybrid_recommendations_preproc.ipynb |
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# $\int \frac{1}{x^4 - x^3}dx$
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# _You are currently looking at **version 1.0*... | Week+3.ipynb |
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# # 循环神经网络的从零开始实现
#
# 在本节中，我们将从零开始实现一个基于字符级循环神经网络的语言模型，并在周杰伦专辑歌词数据集上训练一个模型来进行歌词创作。首先，我们读取周杰伦专辑歌词数据集。
# + attributes={"classes": [], "id": "",... | 深度学习/d2l-zh-1.1/chapter_recurrent-neural-networks/rnn-scratch.ipynb |
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#hide
#skip
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# !pip install --user xlrd
# +... | clients/Mizuho/Reporting/src/main/resources/Load_Funds_Ref_Table.ipynb |
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# + active=""
# import csv as c
#
# -
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# # Dynamic programming
# This notebook is based on t... | 2021-12-18-dynamic-programming.ipynb |
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# # Randomness and reproducibility
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# # Calculating Multi-Modal Concordance
from azur... | notebooks/calculate_drift/calculate-mmc.ipynb |
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# # Arbitrage Pricing Theory
#
# By <NAME>" Nitishinsk... | lectures/Arbitrage Pricing Theory.ipynb |