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# # Forecast/Predict Dema... | Predict_or_Forecast_Demand_for_Bike_Sharing.ipynb |
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# * This notebook implements the VAE model in [Kingma ... | genmod/vae/variational_autoencoder.ipynb |
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# """ This notebook describes how one ca... | desitrip/docs/nb/Pickle Guide.ipynb |
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# # TF-IDF Weighted Word Embeddings
# Traditionally, ... | week7/Example of Using TF-IDF Weighted Document Vectors.ipynb |
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# + [markdown] id="aTTPhI_liU-u" colab_type="text"
# #... | 01_capturing_word_embeddings.ipynb |
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# <a href="https://colab... | module4-model-interpretation/Chance_model_interpretation.ipynb |
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# # <center> A Quantum distance-based classifier </cen... | docs/classifier_example/classification_example1_2_data_points.ipynb |
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# # Simple Driver Comfort Analysis
#
# ## Introduction... | examples/simple_driver_comfort_analysis.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | linked_lists/delete_mid/delete_mid_solution.ipynb |
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import matplotlib.pyplot as plt
import matplotlib.grid... | MC simulation/dosecalc/jupyter_notebooks/plt_gridspec.ipynb |
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import pickle
import pprint
from models import fl... | ntbk_ModelConfiguration.ipynb |
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library(ez)
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df = read.csv('./out/R_NASA.csv')
#df$Round = factor(d... | study2/Step_03_R_NASA.ipynb |
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# # ... | Churn clients study.ipynb |
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# <img src="../figures/HeaDS_logo_large_withTitle.png"... | Numbers_and_operators/Numbers_and_operators.ipynb |
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# # Statistical testing in R
#
# Here, we carry out simple statistical t... | E_Biostatistics/Statistical-tests/StatisticalTesting.ipynb |
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# # Lab 03 - Bringing it together
# You work for a co... | assignments/lab 03/Lab 03.ipynb |
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# ## {{cookiecutter.project_name}}
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# %config ZMQInteractiveShell.ast_node_interactivi... | 2_modeling_base.ipynb |
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# + [markdown] id="vkdnLiKk71g-"
# ##### Copyright 2021 The TensorFlow Author... | site/en-snapshot/federated/tutorials/custom_federated_algorithm_with_tff_optimizers.ipynb |
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# # Export from Labelbox to Voxel51
# After you have f... | ml-model/notebooks/Export from Labelbox to Voxel51.ipynb |
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'Radi... | Chapter01/002_Classification.ipynb |
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print(f'numpy version = {np.__versi... | numpy_ean13_barcode_checkdigit.ipynb |
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# # Introduction
# In this tutorial we’re going to be ... | 2016/tutorial_final/14/scottylabs_dining_api_tutorial.ipynb |
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# ## Auto-Encoder working on Fashion-MNIST ... | Fashion_MNIST_AutoEncoder/AutoEncoder_Fashion_MNIST.ipynb |
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# # Data description & Problem statement:
# This data... | Projects in Python with Scikit-Learn- XGBoost- Pandas- Statsmodels- etc./Diabetes Diagnosis (Random Forest).ipynb |
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# $$MSE = \frac{1}{n} \sum_{i=i}^n (y_i - \hat{y_i})^2... | content/post/least-squares-regression/Untitled.ipynb |
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# # Spatiotemporal control of cell cycle acceleration ... | index.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '3'
im... | mlmodels/model_dev/nlp_tfflow/neural-machine-translation/45.conv-encoder-lstm-decoder.ipynb |
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import sys, os
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# # How to use CNN with time series data
# The regula... | ml4trading-2ed/18_convolutional_neural_nets/04_time_series_prediction.ipynb |
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# # Azure Machine Learning Setup
#... | Hands-on lab/notebooks/02 Deploy Summarizer Web Service.ipynb |
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# # Reproducing Figure 3 in Porter et al., 2011
#
# In... | pyraysum/examples/notebooks/sim_Porter2011.ipynb |
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from qiskit import Aer,... | Evaluating-Gradients-Quantum-Hardware/Mari_et_al_2021.ipynb |
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# # [weasyprint](https://github.com/Kozea/Weas... | weasyprint.ipynb |
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# %load_ext autoreload
# %autoreload 2
from quantumne... | demos/basic/ExpSystem.ipynb |
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import ants
import numpy as np
import os
... | Data/.ipynb_checkpoints/Loop_Extract_Brains1-65-checkpoint.ipynb |
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# # Correlation function of DR72 SDSS VAGC Catalog
# ... | CMASS1_LCDM1.ipynb |
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def validate(net, partition, criterion, args):
val... | cs224w/one13.ipynb |
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# %%capture
## compile PyRoss for this notebook
import... | examples/inference/ex4_SEAIRQ.ipynb |
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# + [markdown] colab_type="text" id="S_y6UCGvxD6a"
# #... | notebooks/6_luc_model_rfreg_no_text.ipynb |
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# ### Importing libraries
import numpy as np
from mat... | SVM/SVC/SVC/.ipynb_checkpoints/svc and example of one dimension-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | COTA.ipynb |
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# # Tutorial: Introduction to Altair
# This tutorial ... | notebooks/altair_notebooks/02-Tutorial.ipynb |
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import pandas as pd
import numpy as np
import csv
imp... | Analysis2.ipynb |
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from __future__ import unicode_literals
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# Imports
from hfm import HFM3D
import scipy.io
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# # Weight Initia... | weight-initialization/weight_initialization.ipynb |
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# # Recurrent neural network and dynamical system anal... | ParametricWorkingMemory.ipynb |
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# # Time Optimal Velocity Profiles
#
# ***
#
# When th... | docs/.ipynb_checkpoints/Time Optimal Smartmouse Controls-checkpoint.ipynb |
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# # # copy — Shallow and deep copy operations
#
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# # Fuzzy c-Means Clustering for Persistence Diagrams ... | tomogwen__Fuzzy-C-Means-Clustering-for-Persistence-Diagrams-and-Riemannian-Manifolds/competition.ipynb |
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# Make NumPy available:
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# ## Exer... | Assignment/07 Exercises.ipynb |
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# # Figure 1. Model Schematic
#
# Summarize tree and f... | workflow/notebooks/plot-model-diagram.ipynb |
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# # Read datasets
import pandas as pd
countries_of_t... | introduction-to-data-visualization-with-seaborn/4. Customizing Seaborn Plots/notebook_section_4.ipynb |
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# # 函数
#
# - 函数可以用来定义可重复代码，组织和简化
# - 一般来说一个函数在实际开发中为一个... | 7.20.ipynb |
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# Data analysis
import numpy as np
import pandas a... | withoutSMOTE.ipynb |
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# # Watch Me Code 2: Plotly and Cufflinks
#
# ... | content/lessons/13/Watch-Me-Code/WMC2-Plotly.ipynb |
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# default_exp models
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import json
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# # Vanishing Gradients : Ungr... | Natural Language Processing with Sequence Models/Week 3 - LSTMs and Named Entity Recognition/C3_W3_Lecture_Notebook_Vanishing_Gradients.ipynb |
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# # Unusual Rotas
#
# All of our rota examples so far ... | unusual-rotas/part-1.ipynb |
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x = ['15°','30°','45°','60°','75°','90°','105°','1... | _includes/project_data/swarm/results.ipynb |
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# # Install dependencies
# This pipeline requires:
#
... | notebooks-pc-linux/.ipynb_checkpoints/pipeline-dependency-installation-checkpoint.ipynb |
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import rdkit
from rdkit.Chem import... | examples/mol_to_file.ipynb |
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# # Author : <NAME>
import pandas as pd
import matplo... | AppStore Analysis.ipynb |
# ##### Copyright 2021 Google LLC.
# 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 writ... | examples/notebook/contrib/coins_grid_mip.ipynb |
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# ## Download latest Jars
dbutils.fs.mkdirs("dbfs:/Fi... | getting-started-guides/csp/databricks/init-notebook-for-rapids-spark-xgboost-on-databricks-gpu-5.3-5.4.ipynb |
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# # Phonological training corpus
#
# This notebook pre... | semrep/data/training/phonological/phonological.ipynb |
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# # Examining pandas DataFrame contents
# It's useful ... | even-more-python-for-beginners-data-tools/04 - Examining Pandas DataFrame contents/04 - Exploring pandas DataFrame contents.ipynb |
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# %load_ext autoreload
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# + [markdown] id="LjL6WmHnFsDm"
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# default_exp core
# -
# # module name here
#
# >... | 00_core.ipynb |
# -*- coding: utf-8 -*-
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# # Multi-Qubit Gates
#
# This tutor... | tutorials/MultiQubitGates/MultiQubitGates.ipynb |
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... | notebooks/dob_now.ipynb |
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from pyspark.sql import SparkSession
from pyspark.sql ... | Assignment_2_1.ipynb |
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# # CGANs - Conditional Generative Adversarial Nets
#
... | src/cifar10/03_CGAN_CIFAR10.ipynb |
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# Importing the libraries
import numpy as np
impor... | Part 2 - Regression/Section 7 - Support Vector Regression (SVR)/Support Vector Regression.ipynb |
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import ... | Analysis/boxplot.ipynb |
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imp... | src/eda_airbnb.ipynb |
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# # Nonlinear SVC
#
# ### Problem Formulation
#
# The ... | Nonlinear_SVC.ipynb |
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# PyBank
# Dependencies
import os
import csv
imp... | PyBank/PyBank.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Keep an eye on... | VacationPy/VacationPy.ipynb |
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# # The basics of awkward arrays
#
# At the front and formost of coffea is a ... | notebooks/awkwardbasic.ipynb |
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os.environ["SPARK_HOME"] = "/Users/zouhairha... | words_co-occurante_matrix/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # The Lending Club Dataset
# ***Happy Mo... | AT-HappyMoney-assignment-2021.ipynb |
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import matplotlib.pyplot as plt
import seabor... | performance-analysis/article/mini-topo/pods-resources-OAI-vs-K8S-vs-Operator/MEM_3.ipynb |
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# # Color Threshold, Green Screen
# ### Import resour... | Introduction to Computer_Vision/Image_representation&_Classification/Green Screen Car.ipynb |
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# ## Activity 07: Filtering, Sorting, and Reshaping
#... | Lesson01/Activity06/activity06.ipynb |
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# # Solving classification problems with CatBoost
# I... | catboost/tutorials/events/pydata_moscow_oct_13_2018.ipynb |