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# # Modeling and Simulation in Python
#
# Chapter 23
#... | code/chap23-cwilklow.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Keep an eye on... | starter_code/VacationPy.ipynb |
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import numpy as np
from scipy imp... | misc/deep_learning_notes/Ch4_Recurrent_Networks/001_Optimization_Algorithms_and_Hyper-parameter_Search/Higher_Dimentional_Convolutions.ipynb |
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# # Sample Notebook
#
# Once you copy this repository,... | notebooks/Notebook_Template.ipynb |
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from datasetup import flights
fnames = flights()
# Ye... | talks/Feb2019-Intro-Pandas-Dask/Example-Dask-multi-csvs.ipynb |
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# # Generate data with small beads and Poisson... | test/testdata/GenerateConvolutedData.ipynb |
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# + id="g28mYG50UaKn" colab_type="code" colab={}
import torch
# + id="bXt_Qu... | Linear_Reg.ipynb |
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# # Cool Imports
# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae... | classifier/notebooks/.ipynb_checkpoints/very-simple-pytorch-training-0-59-checkpoint.ipynb |
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# # Diagnostic of models
import pandas as pd
import ... | Notebooks/Diagnostic+of+models.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="4MgfCoVTl0rJ" execution... | price_predictor/keras_price_predictor_2.ipynb |
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import shapefile
from pyproj import Proj, transfor... | mapping/mke-dists.ipynb |
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# + raw_mimetype="text/restructuredtext" active=""
# .... | doc/source/decision_making/index.ipynb |
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# # Derivatives Analytics - Introduction to Object Ori... | Notebook_Tutorials/Derivatives_Analytics___Introduction_to_OOP.ipynb |
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# # Tensorflow SingleGPU training
# +
import os
data... | Archive/01-AML-TF-Single-GPU/01-train-single_gpu.ipynb |
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from IPython.display import Image
from IPython.core.di... | luentokirjat/Luento 3.ipynb |
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import isopy
import numpy as np
import matplotlib.pyplot as p... | dev/examples/allds/.ipynb_checkpoints/calc_all_ds-checkpoint.ipynb |
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# %matplotlib inline
#
# # Compute LCMV inverse solut... | 0.14/_downloads/plot_lcmv_beamformer_volume.ipynb |
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# # Section 3.3 Investigating global trends of disease... | analysis/3.3_analysis.ipynb |
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using DifferentialEquations
using PyPlot
using Rea... | iJulia/ParametrizedTPH2Combustion.ipynb |
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# **BWA and minimap2 resulted in slightly different va... | analysis/minimap2/Minimap2_explore_GiaB.ipynb |
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# + [markdown] id="U6h5waZyonbz"
# # Train Dataset Reading
# + id="ODXME3g7o... | Bert Model/BERT_Model_for_Covid_19.ipynb |
# -*- coding: utf-8 -*-
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# # MATH50003 Numerical An... | sheets/week4s.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | StyleGan2_ADA_Custom_Edited.ipynb |
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import abjad
# %reload_ext abjadext.ipython
import abj... | day-3/2-Music-Maker-v2.ipynb |
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# %load_ext autoreload
# %autoreload 2
import... | rulevetting/projects/csi_pecarn/notebooks/will_eda.ipynb |
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# # Week 3 Intro to NLP - Day 2
# %matplotlib inline
... | Week3/Day2.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | inference_exploration/colab/tfhub_image_inference.ipynb |
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# Open a new Jupyter notebook and call it "01 class ex... | week_01/01_02_python_language_features/01_02_python_language_features.ipynb |
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# ## MADMO Course
#
# ### Seminar 4: extra materials
#... | 04_linear_regression/day04_linear_regression_extra.ipynb |
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# # کدهای پیاده سازی پروژه پایان ترم بیگ د... | Deep-Learning/Multiple-Class/Letter.ipynb |
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# + [markdown] nbgrader={"grade": false, "grade_id": "... | _build/jupyter_execute/labs/CL2-ProgrammingI.ipynb |
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# # Amazon Polly
# Converts the contents of a... | AWS/AmazonPolly/aws-polly.ipynb |
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# # Corporate performance
# ## Imports
# +
import qu... | Time Series Additive model.ipynb |
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#... | Python_Stock/Time_Series_Forecasting/Stock_Forecasting_PMARIMA_Quasi_Seasonal.ipynb |
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import pandas as pd
import numpy as np
import pickle
f... | topology_anaylsis.ipynb |
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# Copyright (c) Snap Inc. 2020. This sample code is ma... | code/bug_data_experiments/preprocess_eclipse.ipynb |
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# # Tutorial: Exporting BQML Models to Online AI Platf... | model_serving/bqml-caip/01-bqml-to-caip-tutorial.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | clean_bedbugs_df.ipynb |
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# # Model training
# This notebook aims at illustrati... | examples/4_model-training.ipynb |
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# ## Create Box Annotation
#
#
# Get item from t... | tutorials/annotations_image/bounding_box_and_cuboid/chapter.ipynb |
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# # TensorFlow2.0教程-DCGAN
# +
from __future__ import ... | jwolf-AI/tensorflow2_tutorials_chinese-master/025-GAN/002-DCGAN.ipynb |
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# + pycharm={"name": "#%%\n"}
# Imports
i... | second_semester/bert_model.ipynb |
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# + active=""
# Text provided under a Creative Commons... | UVM-ME-Intro-to-Python.ipynb |
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# + [markdown] _uuid="ea82ef3478dd222dfc9f9cbcab966017... | pca-and-catboost-pool-parameter-search.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | house_rent_prediction.ipynb |
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# # Cohort Analysis
#
# <NAME>
#
# Decemeber 14, 2... | CohortAnalysis/CohortAnalysis.ipynb |
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# ### Duplicate a simple cURL query in Python.
#
# Thi... | docs/notebooks/basic_query_in_python.ipynb |
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# + [markdown] _uuid="439f3c861e32608fae88d59208d05648... | news-headlines-for-sarcasm-detection/news-headline-eda-spacy.ipynb |
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# <small><small><i>
# All the IPython Notebooks in **P... | 003_Python_Function_global_Keywords.ipynb |
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# ## Prediction BigMart dataset from AWS No... | PredictBigMartDataset/project/BigdataBigMartPrediction.ipynb |
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# + [markdown] origin_pos=0
# # Deferred Initialization
# :label:`sec_deferred_init`
#
# So far, it might seem that we got away
# with being s... | d2l-en/mxnet/chapter_deep-learning-computation/deferred-init.ipynb |
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# # Dark Sky API (Weather)
#
# Answer the following qu... | 04-homework/.ipynb_checkpoints/02 - Dark Sky API (Weather)-checkpoint.ipynb |
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# %pylab inline
import numpy as np
import scipy as sc
... | intro-to-dlinputs.ipynb |
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# # [`for` loops](https://docs.python.org/3/tutorial/c... | resources/beginner/notebooks/for_loops.ipynb |
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# # Lab 1 Homework: Mean & Std. Deviation (using panda... | Sai Anuraag Challa Lab1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 07_12_2020.ipynb |
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# # An Introduction to Data Visualization with Pandas
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Assignment10.ipynb |
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import numpy as np
from IPython.core.display import HT... | playground.ipynb |
# # Online reinforcement learning with Ray AIR
# In this example, we'll train a reinforcement learning agent using online training.
#
# Online training means that the data from the environment is sampled while we are running the algorithm. In contrast, offline training uses data that has been stored on disk before.
# ... | doc/source/ray-air/examples/rl_online_example.ipynb |
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# ## OSR test for case 1a - m3/h + outdoor temperature... | code/1st generation Forecast model (SARIMAX) - Statistical Learning/support_models/RENergetic_BARANZINI_Model_005a_EXO m3_h_+_OUT_TEMP_(2_EXO).ipynb |
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# # An introduction to functions
#
# Functions are the... | master/Intro_to_functions.ipynb |
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from qiskit import QuantumCircuit,execute,Aer,QuantumRegister
i... | QOSF_task2_partial_noise-(QASM simulator).ipynb |
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# + slideshow={"slide_type": "slide"}
# Load numpy for... | 6506_03_code_ACC_SB/Video 3.4- Axes and Ticks.ipynb |
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# # Many to Many Classification
# Simple example for M... | week07/02_many_to_many_classification.ipynb |
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# # Group Data Analysis PCA 6th Trial - vector angles
... | jupyter/pca/Group_Data_Analysis_PCA_6th_vector_angles.ipynb |
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# # 3.14 Using Type Decimal for Monetary Amounts
amou... | examples/ch03/snippets_ipynb/03_14.ipynb |
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# # MAT281 - Laboratorio N°05
#
#
# ## Problema 01
#
... | labs/lab_05 - resuelto.ipynb |
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import pandas as pd
import numpy as np
from sklear... | notebooks/xgboost_predictor.ipynb |
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# # GeoNet FDSN webservice with Obspy demo - General E... | examples/GeoNet_FDSN_demo_general.ipynb |
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# + [markdown] tags=[]
# # J = 0 to 1 para... | SPA/J = 0 to 1 parameter scans - plots.ipynb |
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# # Playing with neurons
import matplotlib.pyplot as ... | playing-with-neurons.ipynb |
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# # Capstone project notebook
#
# The notebook is part... | Capstone project notebook.ipynb |
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#math
import numpy as np
import scipy.stats as stats
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# %matplotlib inline
import matplotlib.pyplot as p... | analysis_of_logP_predictions/20191016_molecular_error_ridge_plots/test_colors.ipynb |
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# # **05. Plotting a heatmap to visualize the effects ... | tutorials/notebooks/05_heatmap.ipynb |
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from IPython.display import Image
Image('09overview.pn... | notebook/09.3 WRF Python - Cross section QCLOUD.ipynb |
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import tempfile
import glob
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def sol(str):
# to make it all case insensitive
... | Intermediate programs/ 4. Check Whether a String is Palindrome or Not..ipynb |
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# # 🧐 Find label errors with cleanlab
# In this tuto... | docs/tutorials/06-find_label_errors.ipynb |
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# <a href="https://colab... | palinPal.ipynb |
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# # DATA 5600: Introduction to Regression and Machine ... | Lectures/Gelman et al/Chapter03/Chapter03.ipynb |
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# # # 2-D list
# ## 1) initialisation of 2-D lists
#... | 4 . 2D list and numpy ..... [abhishek soni].ipynb |
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# # 残差网络（ResNet）
# :label:`sec_resnet`
#
# 随着我们设计越来越深的网络，深刻理解“新添加的层如何提升神经网络的性能”变得至关重要。更重要的是设计网络的能力，在这种网络中，添加层会使网络更... | d2l/tensorflow/chapter_convolutional-modern/resnet.ipynb |
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# # **Bootstrapping**
# **Author:**
# [<NAME>](http://www.anthonystritt... | bootstrapping.ipynb |
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# + id="QJ5ywvA6Cia_" outputId="3e29be79-2f09-4a71-d412-37f5b2659d74" colab={... | Youtube_Prediction.ipynb |
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# Adapted from https://machinelearningmastery.com/time... | RNN/.ipynb_checkpoints/RNN_passengers_number_n_steps1-checkpoint.ipynb |
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# # Amount Spend by a User on an E-Commerce Website
# ... | E_commerce_website_expenditure.ipynb |
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import tarfile # tar压缩包出库
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# # 01: Data Analysis, Molecule Processing and First ... | 01_FirstModels.ipynb |
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# ### Libraries
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# Das Ziel dieser Aufgabe ist es, den **Decision Tree*... | 2_5_decision_trees/2_4_Aufgabe - Decision Trees - Random Forest - Gradient Boosting.ipynb |