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# + [markdown] pycharm={"name": "#%% md\n"... | lab/Lab 07 - Bagging Decision Trees.ipynb |
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# You need to install... | notebooks/distributed.ipynb |
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# name: python3710jvsc74a57bd062830951d42064a77ddcbbe50cc184bfb... | __app__/crop/Donwload_latest_data_May.ipynb |
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# # Tutorial 08: Creating Custom Environme... | tutorials/tutorial08_environments.ipynb |
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# ¡Holaaaaaa!
#
# En esta ocasión vamos a trabajar co... | Financial_API/Working with a Financial API.ipynb |
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import pandas as pd
import numpy as np
from sklearn.mo... | practica3/intentos/try19.ipynb |
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# # Score : 0.76555
import pandas as pd
import numpy ... | 01_titanic/teamlab_solution.ipynb |
# -*- coding: utf-8 -*-
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# + active=""
# Text provi... | Lessons/12_Step_9.ipynb |
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# <a id='top'></a>
# + [markdown] hideCode=false hide... | Db2 Statistical Functions.ipynb |
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# # Import necessary dependencies and settings
# +
im... | bonus content/feature engineering text data/Feature Engineering Text Data - Traditional Strategies.ipynb |
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# # Lecture 4: Optimizati... | nb/2018_Autumn/Lecture4-Optimization-Using-Python-SciPy.ipynb |
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# %matplotlib inline
#
# Compile Tensorflow Models
# ... | _downloads/e09aef52edc37570c0178591a87d328c/from_tensorflow.ipynb |
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# # List comprehension
#
# List comprehension is an el... | 3Toolbox/.ipynb_checkpoints/3List_comprehensions_and_Generators-checkpoint.ipynb |
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# Import necessary libraries
using AlgebraicRelati... | examples/company_demo/concise_demo_ACT.ipynb |
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# Import dependencies
import matplotlib.pyplot as plt
... | Bonus.ipynb |
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# # Collective.jl: A tool for finding patterns
#
#... | collective.ipynb |
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# Day20-1.Homework.ipynb
import sqlite3 as lite
impor... | SQL/Day20-1.Homework.ipynb |
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# # 利用PCA来简化数据
# **降维（dimensionality reduction）**
#
# ... | PCA/PCA.ipynb |
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# + [markdown] id="WMucfLUS1yhH"
# # LSTM IMDB Sentiment Example.ipynb
#
# ##... | courses/machine_learning/deepdive2/text_classification/labs/LSTM_IMDB_Sentiment_Example.ipynb |
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# # ImagingLSS on NERSC Jupyter Portal
#
# This exampl... | NERSCJupyterGuide.ipynb |
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import tweepy
import pandas as pd
from dotenv import l... | notebooks/labs34_notebooks/twitter_reply.ipynb |
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import statsmodels.api as sm
from matplotlib import py... | Q-Q plots.ipynb |
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# # Q-Learning for FrozenLake 4x4
#
# Based on https:/... | notebooks/OpenAIGym_FrozenLake.ipynb |
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# + [markdown] id="uQJ6xfn_HlSP"
# # CS271P - Lab #1 - Lets get collabing
# ... | nbs/CS271P_Lab_1_Setup_and_Quick_EDA.ipynb |
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import cv2,os
import numpy as np
from PIL import I... | training.ipynb |
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import os
import sys
sys.path.append('../')
impor... | notebooks/20201217_FirstCooldown.ipynb |
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# # Cell Migration Quantification
# <div class="a... | Cell Migration Quantification.ipynb |
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# # Practical example
# ## Importing the relevant lib... | Resources/Data-Science/Machine-Learning/Multiple-Linear-Regression/sklearn - Linear Regression - Practical Example (Part 4).ipynb |
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using QuantEcon
using Interpolations
using Dis... | code/Julia/js_sv.ipynb |
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import pandas as pd
df = pd.read_csv("WHO_first9cols.... | Chapter02 Numpy Pandas/Untitled.ipynb |
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import datalabframework as dlf
from datalabframework i... | demos/mapping/mapping.ipynb |
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# # Pre-processing, dimensionalization, visualization ... | Image_Processing---3-class_Season_Classification.ipynb |
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# # Graph Coloring Oracle
# +
from tweedledum.bool_fu... | libs/tweedledum/python/notebooks/oracles/graph_coloring.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | notebooks/.ipynb_checkpoints/atletas-mejor-pagados-checkpoint.ipynb |
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# # Welcome to fastai
# + hide_input=true
from fastai... | docs_src/index.ipynb |
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# # Derivatives with respect to matrices
#
# W... | Matrix Calculus.ipynb |
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# ### DSPT6 - Adding Data Science to a Web Application... | notebooks/LS333_DSPT7_Model_Demo_InClass.ipynb |
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# # Archivos & Sistema Operativo
# ## Abrir Archivos
... | 05_Archivos&SO.ipynb |
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import pandas as pd
import os
import csv
import numpy ... | notebooks/ExpW-check-handselected.ipynb |
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# +
from plotly import __version__
from plotly.offline... | TS Analysis for each book/#9.Rich Dad Poor DAD.ipynb |
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import geemap
geemap.show_youtube('9EUTX8j-YVM')
Map... | examples/notebooks/04_split_panel_map.ipynb |
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"""
Illustrate finite element function over 2D mes... | Data Science and Machine Learning/Machine-Learning-In-Python-THOROUGH/EXAMPLES/FINITE_ELEMENTS/INTRO/SRC/33_PLOT_FE_APPROX2D.ipynb |
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from astropy.io import fits
import astropy
a... | notebooks/2015-10-18 first dabbles.ipynb |
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from sympy import *
from pylab import *
init_printin... | physics/quant/QuantumSet3.ipynb |
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# # GraphQL
#
# If you want to try out this notebook w... | docs/source/example_graphql.ipynb |
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# + id="iC3ijHEQeQmH" colab_type="code" colab={"base_uri": "https://localhost... | 9_Deep_Learning/Artificial_Neural_Networks/Use cases for ANN/MNIST_Digits_Classifer_with_Only_5_digits.ipynb |
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# ![Logos](https://s3.amazonaws.com/com.twilio.prod.tw... | numpy.random.ipynb |
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# + [markdown] toc="true"
# <h1>Table of Contents<span... | tutorials/building_image_classifier.ipynb |
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# # Masks generation
#
# The porpuses of this noteboo... | docs/source/examples/region_masks.ipynb |
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# # Link Checker
# This program checks all of the link... | python/Link_Checker_cat-v2.ipynb |
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using Random, Printf
using Winston
# +
p = Frame... | Chp08/Notebooks/WInston.ipynb |
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import sys
# ! whoami
print(sys.executable)
print(s... | 1-Lessons/Lesson15/Lab15/lab15-development/Lab15-Part1-FullNarrative.ipynb |
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# + [markdown] id="WTY7kA7DOzpV"
# # Mount Drive
# + colab={"base_uri": "htt... | notebooks/WeightImprintingSoftmaxBase_AllModels/WeightImprintingSoftmaxBase_AllModels_UCF101.ipynb |
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# <img src="http://xarray.pydata.org/en/stable/_static... | scipy-tutorial/05_intro_to_dask.ipynb |
# -*- coding: utf-8 -*-
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using PyPlot
using DSP... | nb/IPT - antiferromagnetic.ipynb |
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# + [markdown] id="llBtQyMWKmao"
# ## Predicting surface location using fluor... | Keras_Regression_on_beads.ipynb |
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# # Summarising the mean and the variance
#
# For this... | examples/LFI - Mean and variance inference.ipynb |
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# # Session 16: Word Embeddings using the Word2Vec ski... | Notebooks/Session 16 Word Embeddings/Session_16_Word_Embbeddings_Word2Vec.ipynb |
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import hail as hl
hl.init(app_name="QC")
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import pandas as pd
filename='img1&2.csv'
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from google... | notebooks/vision_ocr_model.ipynb |
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# # Try to use gpu
# ## 1 Import package
import num... | StudyNotesOfML/4. Backforward /Optimize the training of CNN .ipynb |
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# # Basic regression with Tensorflow
# Learning how te... | Linear Regression.ipynb |
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#XVFB will be launched if you run on a server
... | week1_intro/deep_crossentropy_method.ipynb |
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# # SUBSTITUCION
# Implemente un programa que impleme... | Modulo1/Ejercicios/Problema2.ipynb |
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# **Chapter 11 – Deep Learning**
# _This notebook con... | 11_deep_learning.ipynb |
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# # x.grad demystified
#
# > "An introduction to autom... | _notebooks/2021-05-19-PyTorch-gradient.ipynb |
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from nltk.corpus import wordnet as wn
wn.synset('think... | notebook/procs-nltk-verb-frames.ipynb |
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# # Sensing Matrix Diagonalization
# In this tutorial,... | docs/source/tutorials/sensing_matrix_diagonalization.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Chapter04/32_CNN_on_FashionMNIST.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # 多尺度目标检测
#
# 在[“锚框”](anchor.md)一节中，我们在实验中以输入图像的每个像素为中心生成多个锚框。这些锚框是对输入图像不同区域的采样。然而，如果以图像每个像素为中心都生成锚框，很容易生成过多锚框而造成计算量过大。举个例子，假设输入图像的高和宽分别为561... | chapter_computer-vision/multiscale-object-detection.ipynb |
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# - NVIDIA GeForce GTX 1060 6GB
# - Pytorch 1.4.0
# - ... | 2019/bengaliai-cv19/20200311_train_effnet-b3_cutmix.ipynb |
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import scanpy.api as sc
import numpy as np
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import keras
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# # Fully Convolutional Interior/Edge Segmen... | scripts/deepcell/Interior-Edge Segmentation 2D Fully Convolutional.ipynb |
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# + [markdown] colab_type="text" id="7d3Tf3AXkKwz"
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# # !wget https://f000.backblazeb2.com/file/malay-... | data/voxceleb/download-voxceleb2-testset.ipynb |
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from IPython.core.display import HTML
with open('style... | Python/Exercises/Blatt-06-Gruppenloesung.ipynb |
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# !date
# # Merfish 10x comparison
# +
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west... | notebooks/1_upload_dataset_for_autopilot.ipynb |
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# # "E is for Exploratory Data Analysis: Numeric Data"
# > Wh... | _notebooks/2020-06-15-e-is-for-eda.ipynb |
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# # Session 1.2: Programming
#
# So you know the basic... | 02_Programming_solutions.ipynb |
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# # 简介
# ## 属性 attributes
# 属性是与对象绑定的一组数据，可以只读，只写，或者... | lijin-THU:notes-python/08-object-oriented-programming/08.01-oop-introduction.ipynb |
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# # Ahmad Task 18 - Motor Control
# ### Introduction t... | courses/modsim2018/ahmadhassan/Ahmad_Task18.ipynb |
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# # 1. Importing the libraries.
#importing modules
im... | sumair_EDA.ipynb |
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# # ETL Pipeline Preparation
# Follow the instructions... | ETL Pipeline Preparation.ipynb |
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# ## Tutorial on how to implement periodic boundaries
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# # Comparing Data with Syngine Synthetics using ObsPy... | Compare_Data_and_Synthetics.ipynb |
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# # pandas
#
# It is powerful python data analysis too... | ML introduction.ipynb |
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# ## 简单的 Numpy Broadcasting
# Broadcasting（广播） 解决的是不同... | 03-Jupyter-Notebook-Numpy-and-Matplotlib/Optional-02-Numpy-Broadcasting/Optional-02-Numpy-Broadcasting.ipynb |
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# # Ch `02`: Concept `01`
# ## Defining tensors
# Im... | tests/tf/tf-basics/Concept01_defining_tensors.ipynb |