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# !wget http://cs.stanford.edu/~danqi/data/cnn.tar.gz
... | project/Transparency/preprocess/CNN/CNN.ipynb |
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from matplotlib import pyplot as plt
x = range(2,26,2... | matplotlob/first.ipynb |
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# name: python395jvsc74a57bd09400c0b303c55aae944a7d117953411ee2c353c3ca48e8a9c758ac4a1762... | DEEP_LEARNING_ET_LE_HASARD.ipynb |
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# # Cascade decay of a Ne 1s-hole: Simulate the fi... | tutorials/72-simulate-cascade-neon-k-hole.ipynb |
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# %matplotlib inline
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# # Feature selection using Se... | Assignments/hw3/Failed_to_perform_with_dataset/HW3_feature_selection_from_Boston/.ipynb_checkpoints/plot_select_from_model_boston-checkpoint.ipynb |
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# # Data Wrangling COVID-19 Mini-Challenge
# ## Impor... | data_pipeline.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | Chapter07/ch-07b_RNN_TimeSeries_Keras.ipynb |
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# + [markdown] colab_type="text" id="tmaHAc_KHG_5"
# #... | labs/lab01/Feed-forward nets for image classification - Skel.ipynb |
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# + [markdown] id="sAtovljrSzv8"
# # 데이터 준비
# + colab={"base_uri": "https://... | Sat_pre_training.ipynb |
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import pandas as pd
import numpy as np
import math
imp... | REAL_BLADE_SIMULATION_60.ipynb |
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# # The Current State of Nuclear Power
#
# ... | introduction/01-power-overview.ipynb |
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# title: Iterators in Python
# toc: true
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#... | _posts_drafts/2019-07-24-Python-iterators.ipynb |
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# # Example of confidence interval computation
# +
im... | notebooks/hypotests/confidenceinterval_freq_zfit.ipynb |
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# ## Relatório de Análise VII
# ## Criando Agrupament... | 2. Python com Pandas Tratando e analisando dados/Projetos Python/Curso Pandas/Criando Agrupamentos.ipynb |
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# # A Framework for Comparing Graph Embedd... | GraphEmbeddingDivergence.ipynb |
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# name: python37664bitarcenvconda83c4abf921... | ipython/TS-GCN+RDMC_v1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Graphs.ipynb |
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# + [markdown] colab_type="text" id="NpJd3dlOCStH"
# <a href="https://colab.r... | ddsp/colab/tutorials/1_synths_and_effects.ipynb |
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# # Overview
# This is a simple end to end example of ... | developerTrial/python/Basic+Predictive+Modeling+Example.ipynb |
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# %matplotlib widget
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import matplotlib as mpl
fro... | sheets_001.ipynb |
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// # Displaying output in a .NET noteboo... | NotebookExamples/csharp/Docs/Displaying output.ipynb |
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import xarray as xr
import matplotlib.pyplot as plt
im... | s_10_different_wind_speeds.ipynb |
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# # Process UniProt Data
#
# Jupyter Notebook to downl... | archived-datasets/uniprot/process-uniprot.ipynb |
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# + [markdown] deletable=false editable=false
# # Assi... | assignments/assignment1.ipynb |
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# # Federated Audio Classification tutoria... | openfl-tutorials/interactive_api/PyTorch_Huggingface_transformers_SUPERB/workspace/PyTorch_Huggingface_transformers_SUPERB.ipynb |
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# Race-Bar Chart: Completed
# 2021-05-2... | Tidy-Tuesday-Insights/mario.ipynb |
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# # Code to prepare data for use in an OWG
# ## Resiz... | OWG/Prepdata.ipynb |
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import mat... | notebooks/teaser.ipynb |
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from __future__ import absolute_import, division, ... | notebooks/vae/vae.ipynb |
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# # Introduction
# In this post,we will talk about so... | Phase - 1/Session4/4_Architectures in CNN.ipynb |
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# # Deploying a web service to Azure Kubernetes Servic... | Keras_Tensorflow/04_DeployOnAKS.ipynb |
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# + id="8cbb2142c6d6"
import matplotlib.pyplot as plt
import numpy as np
impo... | Section 5/Sec-5.3-Average-consenus-over-regular-dyanmic-topology.ipynb |
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# # <img style="float: left; padding-right: 10px; widt... | content/sections/section4/notebook/cs109a_section_4.ipynb |
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# # An overview of Gate Set Tomography
# The `pygsti`... | jupyter_notebooks/Tutorials/algorithms/GST-Overview.ipynb |
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# + id="Gy2SN6o21sIM" colab_type="code" colab={}
import pandas as pd
from skl... | notebook/Lambdata_DSPT6_Dev.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy a... | notebooks/11.0-umap-projection-fig/.ipynb_checkpoints/plot-hcassins-umap-checkpoint.ipynb |
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# ## Calculating the Return of a Portfolio of Securiti... | Python for Finance - Code Files/67 Calculating the Return of a Portfolio of Securities/CSV/Python 3 CSV/Calculating the Return of a Portfolio of Securities - Exercise_CSV.ipynb |
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# + [markdown] deletable=true editable=true
# In this ... | Notebooks/plot_global_mesh.ipynb |
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# ## Gaussian Mixture Model for Density Estimation
# T... | .ipynb_checkpoints/GMM-checkpoint.ipynb |
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# # Databases of measures
#
# This Notebook contains code to pars... | notebooks/measure_data.ipynb |
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import requests
from bs4 import BeautifulSoup
reques... | Untitled.ipynb |
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# <img height="60px" src="http://astro.phys.wvu.edu/bh... | NRPyPlus_Tutorial.ipynb |
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import pandas as pd
imp... | 4_PCSE_custom_data_tuto.ipynb |
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import sklearn
import pickle
from PIL import Image, Im... | Carga_de_Imagenes.ipynb |
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# # The development in productivity and hourly wages i... | dataproject/datapro.ipynb |
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# ## POS tagging using modified Viterbi
# ### Data Pr... | HMM+-based+POS+tagging-+Assignment.ipynb |
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# + [markdown] id="0259a7ce8120"
# # Vertex AI: Create, train, and deploy an ... | courses/machine_learning/deepdive2/launching_into_ml/solutions/automl_text_classification.ipynb |
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# ### Домашнее задание
# ## Свойства матричных вычисл... | Untitled1.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Config... | terra_workflow_scale_test_tools/external_development.ipynb |
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from collections import Counter
import os
import r... | tf-idf/Latin feature tables.ipynb |
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# Multiple Linear Regression
# Importing the libr... | Topics/4. Multiple Linear Regression/.ipynb_checkpoints/Multiple Linear Regression-checkpoint.ipynb |
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class Stack():
def __init__(self,stones):
... | Exercises - Qasim/Python. Pandas, Viz/Nim Game - Resolved!.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 009_NLP_textblob.ipynb |
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# # MadMiner particle physics tutorial
#
# # Part 4a: ... | examples/tutorial_particle_physics/4a_limits_sme_wb.ipynb |
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import discord
import config
import images
# -
... | EmoteConvert.ipynb |
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# LVQ for the Ionosphere Dataset
from random impor... | lvq/lvq.ipynb |
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# # Hypothesis testing with BayesDB
#
# ##### Prepared... | experiments/gene-expression-public/RNAseq-synthesis-and-hypothesis-testing.ipynb |
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data = [0.5, None, No... | DS_02_Python_Pandas_Tratando_e_Analisando_Dados/extra_aula6_metodos_de_interpolacao.ipynb |
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# import all required functions and libraries
imp... | federated_techniques/FedAvg.ipynb |
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# # quant-econ Solutions: Infinite Horizon Dynamic Pro... | optgrowth/optgrowth_solutions_py.ipynb |
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# # Exercise 2
# Write a function to compute the roots... | lectures/L5/Exercise_2.ipynb |
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import csv
import numpy as np... | examples/.ipynb_checkpoints/deepyeast-checkpoint.ipynb |
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import pandas as pd
from minio import Minio
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data... | notebooks/Criando ETL - Landing para Processing.ipynb |
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import numpy as np
# import pandas as... | code/forest_segmentation.ipynb |
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# # Enplore Python training introduction and making of... | notebooks/Introduction to Reading file with python.ipynb |
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# ## Run many Batch Normalization experiments using Cl... | blogs/batch_normalization/estimator_batch_normalization.ipynb |
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# + pycharm={"name": "#%%\n"}
import torch
from torch.... | study/pytorchExample.ipynb |
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# # Now You Code 3: Limerick Generator
#
# We will wri... | content/lessons/02/Now-You-Code/NYC3-Limerick-Generator.ipynb |
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# TSG029 - Find dumps in the cluster
# ==================================
#
#... | Big-Data-Clusters/CU3/Public/content/diagnose/tsg029-find-dumps-in-the-cluster.ipynb |
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# ## Creating the Sentence Encoder Indices
# %cd ../.... | gamechangerml/experimental/notebooks/sentence-transformer/Sample_Modelling.ipynb |
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import itertools
import pandas as pd
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# + id="7q9s7AAxgDGY"
# importing the requisite libraries
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# ## Amazon SageMaker Processing jobs
#
# W... | sagemaker_processing/scikit_learn_data_processing_and_model_evaluation/scikit_learn_data_processing_and_model_evaluation.ipynb |
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# # ChebLieNet: building graphs from sampled Lie groups
#
#
# In this tutorial, we introduce the notion of group manifold graph, a discretizat... | notebooks/graph_manifold.ipynb |
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# %pylab inline
# %load_ext autoreload
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model_file_path = "/home/gsoykan/Desktop/comp541/c... | resnet.example.ipynb |
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# Copyright 2010 <NAME> <EMAIL>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | examples/notebook/contrib/alldifferent_except_0.ipynb |
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# [source](../../api/alibi_detect.od.sr.rst)
# # Spec... | doc/source/od/methods/sr.ipynb |
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import pandas as pd
import numpy as np
import seaborn ... | Data mining process.ipynb |
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# # Automated Transformations
#
# Automated transforma... | notebooks/automated_transformations.ipynb |
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# Dependen... | HeroesOfPymoli/.ipynb_checkpoints/HeroesOfPymoli_starter-checkpoint.ipynb |
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# # Preparation of databases before running SeroBA
# In order ... | SEROBA/db_setup.ipynb |
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# ## Teste de Tukey
import numpy as np
from scipy.sta... | 8_intervalo_confianca/teste_ukey.ipynb |
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import numpy as np
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# # Using SoS with spyder
# [spyder](https://pythonhosted.org/sp... | misc/spyder/Using_SoS_with_Spyder.ipynb |
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# %matplotlib inline
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# <script async src="https://www.googletagmanager.com/... | Tutorial-ETK_thorn-Interpolation_to_Spherical_Grids_multi_order.ipynb |
# -*- coding: utf-8 -*-
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# # A less basic backprop ... | notebooks/backprop_example2.ipynb |
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# + [markdown] id="Hh164S5d5wd_"
# ## Matrix multiplic... | nbs/dl2/01_matmul.ipynb |
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# # Recurrent Neural Network Example
#
# Build a recur... | tests/tf/recurrent_network.ipynb |
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# # Data Exploration and Visualization:
# - Univa... | Projects in Python with Scikit-Learn- XGBoost- Pandas- Statsmodels- etc./Loan prediction (Data Exploration and Visualization) .ipynb |
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# # Module 2: Tides in the Puget Sound
# ## Learning ... | Module2.ipynb |
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# 因子分析模型(241)
from IPython.display import Latex
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# Sveučilište u Zagrebu
# Fakultet elektrotehnike i ... | SU-2019-LAB01-<0036500216>.ipynb |