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# Text provided under a Creative Commons... | lessons/03_Lesson03_Assignment.ipynb |
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# # Ozone Hole Data Journey
# <hr/>
# Data idea from -... | Ozone_Hole/.ipynb_checkpoints/README-checkpoint.ipynb |
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# + outputHidden=... | wcs_test.ipynb |
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import numpy as np
import torch
arr = np.... | Courses/PyTorch for Deep Learning with Python/05 PyTorch Basics/02_Tensor_basics2.ipynb |
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# + id="WNYCBfpJ-sfV" colab_type="code" colab={}
from IPython.display import ... | TicTacToe/TicTacToe.ipynb |
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# 该notebook为指导在树算法中实现一些额外的参数。
import os
os.sys.path.a... | tree/add_param.ipynb |
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# + [markdown] colab_type="text" id="6dHNH184MplP"
# Authored by: <NAME>
#
# http://xcorr.net/
#
# Our aim is to fit a maximum entropy model fo... | python/demos/maxEntPersistentContrastiveDivergence.ipynb |
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import os
import sys
module_path = os.path.abspath(os.... | CFMM_for_DFT/tests/test_operation.ipynb |
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# ## [4.3 并行计算](http://www-inst.eecs.berkeley.edu/~cs6... | Chapter 4/Section 4.3.ipynb |
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# ## Pumpkin Varieties and Color
#
# Load up required libraries an... | 2-Regression/4-Logistic/notebook.ipynb |
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# # Machine Learning Engineer Nanodegree
# ## Introduc... | Titanic-Survival-Exploration/src/titanic_survival_exploration.ipynb |
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# ## RDF
# The radial distribution function (RDF) deno... | hpc/nways/nways_labs/nways_MD/English/Fortran/jupyter_notebook/serial/rdf_overview.ipynb |
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# # Introduction to Photometry
# ### <NAME>, Universi... | Sessions/Session05/Day2/Introduction to Photometry.ipynb |
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# + [markdown] colab_type="text" id="y6O1k7uixj1M"
# #... | activitysim/examples/example_mtc/notebooks/change_in_auto_ownership.ipynb |
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# `models.explainers` binary classification example (a... | examples/models.explainers_binary_classification_example_adult_dataset.ipynb |
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import os
# +
projectDir = '/home/manojmenpadi/Docume... | jupyter-notebooks/.ipynb_checkpoints/Word2Vec model-checkpoint.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Cifar100/sourcecode/Cifar100_Efficientnet_B2_299_STD.ipynb |
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# # Exercise 02: Vortex dynamics
#
# We wa... | docs/06-getting-started-exercise-vortex-dynamics.ipynb |
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import cudf
import pandas as p... | RAPIDS/notebooks/cudf_transpose_bug.ipynb |
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# name: python3-azur... | 17 - Monitor Data Drift.ipynb |
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# + [markdown] id="oxKYH6wCQ9Hf" colab_type="text"
# <... | RePlutarch_TFembPub.ipynb |
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# # Revisão Cálculo 1
# ## Limites e continuidade
# ... | Calculo1_revisao.ipynb |
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# # Classification problem
# + _cell_guid="79c7e3d0-c... | Compus_placement.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Teaching/jupyter_training_data.ipynb |
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# + [markdown] id="4WSXmzOVBn-X"
# ##### Copyright 2021 Google LLC.
# + cell... | tensorflow_graphics/notebooks/inverse_rendering.ipynb |
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from utils import *
scale_all_images_in_folder('../da... | code/camera_calibration.ipynb |
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# + [markdown] id="aBVDc_NOqwqQ"
# # Inspecting TESS light curves for a proje... | Run_tesscheck.ipynb |
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# Importing Libraries
import pandas as pd
import num... | Programming Final Project.ipynb |
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# ### Interpreting Results of Logistic Regression
#
# ... | Practical Statistics/Regression/Logistic Regression/Interpret Results.ipynb |
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# # VQE on Aer simulator with noise
#
# This notebook ... | tutorials/algorithms/03_vqe_simulation_with_noise.ipynb |
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# + [markdown] id="iIYqMbmAYNGc"
# # Installation
# + id="v-Od28y07Z2j" exec... | 3_evaluation.ipynb |
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# +
import pandas as pd
import numpy as np
import torc... | nlp/7. RNN in Torch - Basic RNN.ipynb |
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# # Workshop 4 - Performance Metrics
#
# In th... | code/7/pwang13_performance.ipynb |
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# + [markdown] id="-K0TVsmwJmun"
# # 1. Text Cleaning
... | Semantic_Group/text_cleaning.ipynb |
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# # 7章 線形回帰
# 必要ライブラリの宣言
# %matplotlib inline
import ... | notebooks/ch07-regression.ipynb |
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import tensorflow as tf
import ... | notebooks/Tutorial 003.ipynb |
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# + [markdown] id="Ipoq5dkUZEI1" colab_type="text"
# # Singular Value Decompo... | 第15章 奇异值分解/SVD.ipynb |
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# + [markdown] papermill={"duration": 0.016799, "end_t... | kaggle/notebooks/moa-pca-dnn-callbacks-keras.ipynb |
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# **[SQL Home Page](https://www.kaggle.com/learn/intro... | Exercise_ Joining Data.ipynb |
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print ("HOLA, EAE")
from IPython.display import HTML,... | notebooks/1_Comenzar con Python.ipynb |
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# Here we give a list of short and useful tips.
# ###... | 12. Tricks and Tips.ipynb |
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import pandas as pd
s = pd.Series(['pizza', 42])
s
... | notebooks/02-data.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | _notebooks/2022_02_09_Time_series_analysis.ipynb |
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# <h2>Simple Regression Dataset - Linear Re... | xgboost/LinearAndQuadraticFunctionRegression/linear_xgboost_localmode.ipynb |
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# # PMOD Grove OLED
# ----
# ## Aim/s
# * Write a Pyt... | board/RFSoC2x2/base/notebooks/pmod/pmod_grove_oled.ipynb |
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# # Text als Sprache
# Als *Natural Language Processi... | 03_Sprache/Text als Sprache.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# %... | .ipynb_checkpoints/Tmp Fitter-checkpoint.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | CardioDataAnalysis.ipynb |
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# Import the necessary libraries
import numpy as np
im... | Elo merchant/Elo_simplestack682.ipynb |
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# # VacationPy
... | starter_code/VactionPy-Rick_Kassing.ipynb |
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import matplotlib
matplotlib.use('module://ipympl.... | notebooks/Test of functions.ipynb |
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import re
import sys
import pathl... | examples/site-specific/cancer-care-associates/production/Logfiles/MU Density/QCL Based Logfile to Monaco Comparison.ipynb |
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import pandas as pd
import os
import sys
import tensor... | pre-experiment-pipeline/experiment_6Mar.ipynb |
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# + deletable=true editable=true
import csv
import dat... | notebooks/024_train-probabilistic-svm.ipynb |
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# # LAB 1a: Exploring natality dataset.
#
# **Learnin... | courses/machine_learning/deepdive2/structured/labs/1a_explore_data_babyweight.ipynb |
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#importing libraries
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# + [markdown] id="jwzym_rIk4_C"
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# ## *Data Science Unit 4 Sprint 3 Assignm... | module1-rnn-and-lstm/LS_DS_431_RNN_and_LSTM_Assignment.ipynb |
// -*- coding: utf-8 -*-
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# ## Quick Setup
# Create a SystemML MLContext object... | scripts/staging/SystemML-NN/examples/Example - MNIST LeNet.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
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# #... | _notebooks/2022-05-21-cloudwatch-agent-onprem.ipynb |
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# # Thinking in tensors, writ... | extra/Matrix exercise.ipynb |
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import os
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | finalexam-5938122.ipynb |
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import os
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... | notebooks/01.01_bb_MODEL_ballot_paper-v2.ipynb |
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from sklearn.linear_model import LinearRegression
... | SKLearn/excercise.ipynb |
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# # Getting familiar with deep Q-networks
# > Notes on... | _notebooks/2020-04-03-deep-q-networks.ipynb |
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# # Discrete Data and the Multinomial Distribution... | lessons/exercises/Solutions-The-Multinomial-Distribution.ipynb |
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# +
#hide
#default_exp vis.lolp
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# # Loss of Load Probabi... | nbs/vis-03-lolp.ipynb |
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# ## Setup
# # SQLAlchemy Joins
# Python SQL toolkit... | country.ipynb |
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from transformers import pipeline, set_seed
from debia... | Debiased GPT2 Demo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | linear_search.ipynb |
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# # Introduction
#
# In this notebook I will train a N... | Code/.ipynb_checkpoints/NeuralProcess-checkpoint.ipynb |
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# # Data Visualization
# In the Python world, there a... | Data Visualization/Matplotlib Explained.ipynb |
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# # "My Title"
# > "Awesome summary"
#
# -... | _notebooks/2022-03-05-Assignment 3.ipynb |
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# # Midiendo rendimiento y riesgo con datos históricos... | Modulo1/Clase5_MidiendoConHistoricos.ipynb |
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import pandas as pd
import numpy as np
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i... | Nature_Food_Perspective/Perspective_Analysis.ipynb |
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# ## Using SageMaker Debugger and SageMaker Experiment... | sagemaker-debugger/pytorch_iterative_model_pruning/iterative_model_pruning_alexnet.ipynb |
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df... | code/May6/DataViz_lda_jx.ipynb |
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# + colab={"base_uri": "https... | python/skripte_klassifikation/multiclass_classification.ipynb |
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# <img src="../logo/logo_ev2017.png">
# # Table of Co... | module2_Python/day1/elementos_Basicos.ipynb |
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# + id="XLwKiZtPD236"
from bs4 import BeautifulSoup, Comment
from urllib.requ... | Notebook/NBA_MVP_Award_Share_Scrap.ipynb |
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from threeML import *
from hawc_hal import HAL, H... | notebooks/test_like.ipynb |
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import sys
sys.path.append('../') # or just install th... | experiments/.ipynb_checkpoints/metrics_results (copy)-checkpoint.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/azure-databricks/automl/automl-databricks-local-01.ipynb |
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# # Circos running in Binder
# NOT READY YET. CONTENT... | notebooks/Quick_Start_Part1.ipynb |
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# # QA Sentiment Analysis: Critical Thinking 6.2.1
# #... | RandomForests/RF_6_2_1_QA_Sentiment_Analysis.ipynb |
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# # Twoja własna wirtualna kamera - czyli sieci neuron... | Warsztat.ipynb |
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# # State Estimation:Induction Motor
# <span style="co... | GitIMKF.ipynb |
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# + [markdown] id="7VXiHLhLElJB"
# # Exercise 1: Try L... | CE019_Lab5/019_lab5_linear_regression.ipynb |
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# Most examples work across multiple plotting backends, this example is also available for:
#
# * [Bokeh - boxplot_chart](../bokeh/boxplot_cha... | examples/gallery/demos/matplotlib/boxplot_chart.ipynb |
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# # Lecture 4-2
# ## Loading data from file
#
import ... | Lecture4-2 Loading data from file.ipynb |
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# + [markdown] id="2Xi0CMM2clAj"
# Importing the Dependencies
# + id="6PbZXK... | Calories_Burnt_Prediction.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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