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# # Image processing for NGC 309: Part2
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import nu... | examples/NGC309_image_processing_p2.ipynb |
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# %matplotlib inline
#
# # A Gentle Introduction to `... | pythonExample/pytorchExample/2-LearningPytorch/1-60minBlitz/2-autograd_tutorial.ipynb |
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import pandas as pd
import seaborn as sns
from sklearn... | Titanic.ipynb |
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# # Pipelines
#
# Pipelines are just serie... | content/05/04e_pipelines.ipynb |
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import panel as pn
from functools import wraps
pn.... | colette/togglizer_isolated.ipynb |
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# ## Face Recognition Program - For Mailing, Whatsapp,... | .ipynb_checkpoints/Face Recognition Program - For Mailing, Whatsapp, AWS Service Usage!!-checkpoint.ipynb |
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# + [markdown] Collapsed="false"
# # "Titanic: Machine... | _notebooks/2020-03-31-kaggle-titanic.ipynb |
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# # Kubeflow Pipelines - Retail Product Stockouts Pred... | samples/core/AutoML tables/AutoML Tables - Retail product stockout prediction.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | notebooks/StatisticalDebugger.ipynb |
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# Classes
class Sample:
def __init__(new_object t... | my_classes/basic/.ipynb_checkpoints/classes-checkpoint.ipynb |
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import pandas as pd
import numpy as np
from keras.mode... | .ipynb_checkpoints/PlotGRUWF-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | upwork-devs/lwasampijja-baker/Introduction_to_Google_Colab.ipynb |
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// # Taco Truck Problem
// ## Import Fl... | code/fsharp-workshop/Solutions/.ipynb_checkpoints/Ex01_TacoTruck-checkpoint.ipynb |
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# # Reading image files
SEED=42
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import glob
imp... | notebook/SVM.ipynb |
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# ## Python doesn't need "getters" or "setters"
# ...... | Luba Python/pythonic_duck_classes.ipynb |
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# This file shows some of the plots of the row-by-row ... | Pioneer Time-Shift Comparison.ipynb |
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# ### imports
# +
import numpy as np
import hypertool... | data-stories/semantic-mapping/notebooks/search_params.ipynb |
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# # SimPy: Treatment Centre
#
# `simpy` uses process b... | src/notebooks/01_foss_sim/01_simpy.ipynb |
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# + [markdown] id="ZfbRXE-Z16oB"
# # Chapter3 ニューラルネットワークの基本
# ## 2. アヤメの分類【サ... | Ubuntu/Chapter3/Section3-2.ipynb |
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from sklearn.datasets import load_iris
from sklear... | Decision Trees/Decision Tree.ipynb |
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import psychrnn
from psychrnn.tasks import rdm as ... | psychrnn/notebooks/RDM.ipynb |
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# # REINFORCE in TensorFlow
#
# This notebook implemen... | week5_policy_based/practice_reinforce.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Control_Structure.ipynb |
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# # How to extract bottleneck features
# Modern CNNs ... | 18_convolutional_neural_nets/09_bottleneck_features.ipynb |
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import os
os.chdir('../../')
# ## GPU 设置
GPUID=... | train/text/text-train.ipynb |
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# # Sinopia Knowledge Graph
# This noteboo... | doc/stage-kg.ipynb |
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# + [markdown] graffitiCellId="id_1myd4mr"
# ### Probl... | data structure/recursion/Return-Codes.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | OOP_Concepts.ipynb |
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import pandas as pd
import numpy as np
df = pd.read_c... | 18CSE109_DMDWLAB_Assignment_4.ipynb |
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# # Sparameters
#
# gdsfactory provides you with a Lum... | notebooks/30_sparameters.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | 5b_LSTM_prediction_BTC_price_and_sentiment.ipynb |
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# + [markdown] colab_type="text" id="mug_MpPEExpa"
# #... | particle-physcis'/plotting a trajectory of a particle.ipynb |
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# ### Checking installation.
import numpy as np
from ... | trial.ipynb |
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import import_ipynb
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from ElektronImFeld import *
... | cz_beta/2021-08-01/Replay.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplotlib i... | Test pem_survival_model_gamma with simulated data.ipynb |
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# # Passo 1. Configuração do projeto
# +
import jobli... | aprendizado-de-maquina-i/analise-de-classificadores/.ipynb_checkpoints/modelagem_v2-checkpoint.ipynb |
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# Backtesting example
# ===========
# This notebook as... | examples/Backtest.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
im... | ML Models/SVM_olympic_medalists.ipynb |
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# #### _Speech Processing Labs 2020: Signals: Module 2... | signals/sp-m2-1-impulse-as-source.ipynb |
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# **Chapter 3 – Classification**
#
# _This notebook co... | 03_classification.ipynb |
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# + id="zX4Kg8DUTKWO"
#@title Licensed under the Apach... | TensorFlow Deployment/Course 2 - TensorFlow Lite/Week 1/Examples/TFLite_Week1_Transfer_Learning.ipynb |
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# + [markdown] id="O5WVrOdzC3K1"
# #Finetuning Data Generation Script
# + [m... | mutformer_finetuning/mutformer_finetuning_data_generation.ipynb |
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# # Homework 3 - Tryout pandas and numpy
#
# Copy thi... | Homeworks/Homework3/Homework3-pandas-numpy.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # D... | Aulas/Aula_20210806/Aula_FisExpII_prev_20210806.ipynb |
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import requests
from bs4 import BeautifulSoup
import p... | Data_Collection.ipynb |
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from sklearn.linear_model import SGDClassifier
X ... | SGD-learn.ipynb |
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# # Markdown Cells
# Text can be added to Jupyter Not... | jupyter-notebooks/Working With Markdown Cells.ipynb |
# # Fast tokenizers special powers
# Install the Transformers and Datasets libraries to run this notebook.
# !pip install datasets transformers[sentencepiece]
# +
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("bert-base-cased")
example = "My name is Sylvain and I work at Hugging F... | course/chapter6/section3.ipynb |
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# # Data Resampling and Cleaning
# This file is compo... | DigitalBiomarkers-HumanActivityRecognition/10_code/10_pre_outlier_removal_processing/.ipynb_checkpoints/10_data_preprocessing-checkpoint.ipynb |
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# + pycharm={"name": "#%%\n"}
import os
im... | s3_fuse_testing/scaling_example.ipynb |
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# %pylab inline
import pandas as pd
from mpl_toolkits.... | Analysis/MERFISH/MERFISH Analysis.ipynb |
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""" SIMPLE DATA VISUALIZATION WITH PANDAS ON STACK... | Pandas 1 .ipynb |
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# + [markdown] tags=["preface-cell", "preface-title"]
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# # Problem definition
# Being $D$ the number of days ... | solution.ipynb |
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# + colab={} colab_type="code" id="ZZc-hhpItgMH"
impor... | docs/CommPy_vs_ModulationPy.ipynb |
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# code for loading the format for the notebook
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# + [markdown] slideshow={"slide_type": "slide"}
# # E... | visualisation/tutorials/Legend.ipynb |
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# Assignment - Find All Nodes Distance K in Binary... | assignments/binary_tree/Print All Nodes K Distance from Leaf Node in Binary Tree.ipynb |
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# # Reading TREx Spectrograph raw image data
#
# Below... | python/examples/read_spectrograph.ipynb |
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import torch.utils.data
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from trochvision ... | project2/preparedata.ipynb |
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# + deletable=true editable=true slideshow={"slide_typ... | Chapter03/Removing columns from a pandas DataFrame.ipynb |
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import pandas as pd
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# # Approximating functions on $R^2$
#
# <b><NAME>, Ph... | _build/jupyter_execute/notebooks/app/02 Approximating functions on R2.ipynb |
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# ## Inheritance
# ### What is Inheritance?
#
# The b... | workshop/01-inheritance.ipynb |
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from scipy.io import loadmat
import plotly.offline... | notebooks/ep3/mnist-solution.ipynb |
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# # Porto Seguro’s Safe Driver Prediction
# I got <NA... | Peter_PortoSeguro_v4.ipynb |
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# Single-subject example of SVM ... | models/.ipynb_checkpoints/CIMAQ_withinSub_wholeBrain_SVM-checkpoint.ipynb |
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# + id="breeding-extra"
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fro... | tha2.ipynb |
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def model_hyperparam_search(layers, activation_fun... | prototype/synthetic_data/.ipynb_checkpoints/hyper parameter search playtest-checkpoint.ipynb |
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# [🥭 Mango Markets](https://mango.markets... | PracticalRunMarketmakerSpot.ipynb |
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# + [markdown] colab_type="text" id="T38hrerpErjZ"
# #... | Sentiment Analysis.ipynb |
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import numpy as np
# ## zeros((row, column))
x = np.... | Jupyter-Notebook/Numpy/Using Built-in Functions to Create ndarrays.ipynb |
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from bs4 import BeautifulSoup as soup
from urllib.requ... | Web-Scraping Scripts and Data/Accredited Canadian English Undergrad MechEng Programs/UCalgary/WS_UCalgary_Engineering_Common_First_Year.ipynb |
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# + [markdown] id="b9918d88-edd6-44b5-8919... | _notebooks/2022-05-30-python_class5.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | notes/week05/Class5A/Class5A.ipynb |
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# # Perform Illumination correction on an Image
# The ... | notebooks/IlluminationCorrectionNotebook.ipynb |
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import io
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... | notebooks/2018 #thegame.ipynb |
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# ## NEWS DATA FETCHING
# * We are going to fetch news... | Projects/news/Data Fetching.ipynb |
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# + [markdown] id="7765UFHoyGx6"
# ##### Copyright 2020 The TensorFlow Author... | site/en-snapshot/lattice/tutorials/canned_estimators.ipynb |
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# + colab={} colab_type="code" id="gateB2MinsYB"
impor... | TensorFlow2/8-Autoencoder/.ipynb_checkpoints/Colourization Autoencoder-checkpoint.ipynb |
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from __future__ import absolute_import, print_func... | train.ipynb |
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# ### Note
# * In... | HeroesOfPymoli_starter-checkpoint.ipynb |
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import librosa as... | main.ipynb |
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# # Enabling Data Collection for Models in Producti... | how-to-use-azureml/deployment/enable-data-collection-for-models-in-aks/enable-data-collection-for-models-in-aks.ipynb |
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# # Machine Learning with H2O - Tutorial 2: Basic Data... | introduction_to_machine_learning/py_02_data_manipulation.ipynb |
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# # Log metrics with MLflow in Py... | python-sdk/experimental/using-pytorch-lightning/3.log-with-mlflow.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 13Enero.ipynb |
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# # Correlation function of DR72 SDSS VAGC Catalog
# ... | DR72_VAGC_correl_V06_LCc_w07.ipynb |
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import pandas as pd
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import matp... | chinese/stratification/stratification.ipynb |
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# Este programa define las funciones likelihood, prior... | Guia_4/Problema_2.ipynb |
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# + [markdown] _uuid="8cfe0690a55d0651ce9af5839d5bd492... | Jupyter notebook/IBM/python for data science/sets.ipynb |
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# + [markdown] id="3rZ3ZWSkhxyS"
# # DSE Course 1, Lab 1: Practice with Flow ... | courses/C1_ Build Your Base/SOLUTIONS/DSE C1 L1_ Practice with Flow Control - Solved.ipynb |
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# # Customizing visual appearance
#
#
# HoloViews elements like the `Scatter` points illustrated in the [Introduction](1-Introduction.ipynb) ... | examples/getting_started/2-Customization.ipynb |
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# reload packages
# %load_ext autoreload
# %autoreload... | notebooks/dataset-projections/bison/bison-pca-tsne.ipynb |
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# # Fitting the Barnes Gyro relation using a latentfit... | code/tests/gyro_tests/gyro_latent_test.ipynb |
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# # Now You Code 2: Shopping List
#
# Write a program ... | content/lessons/08/Now-You-Code/NYC2-Shopping-List.ipynb |
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from birdcall.data import *
from birdcall.metrics ... | 02c_train_on_melspectrograms_pytorch_avg_pool.ipynb |
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import numpy as np
import matplo... | 06_EDA_Examining Relationships_Exercises_part6.ipynb |
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# # Advanced usage
# This notebook shows some more ad... | notebooks/Advanced_Usage.ipynb |
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# [![image](https://colab.research.google.com/assets/c... | examples/workshops/YouthMappers_2021.ipynb |