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# Some common packages used throughout the... | notebooks/demo_notebooks/GLCM - Pantex.ipynb |
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import numpy as np
import tensorflow as tf
from sklear... | neural-machine-translation/17.lstm-seq2seq-bahdanau.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # P... | plotting with seaborn/.ipynb_checkpoints/1_seaborn_plots-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks-d2l/multi_gpu_training_torch.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/regression-in-pytorch.ipynb |
# -*- coding: utf-8 -*-
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# # Orthogonal Polynomials... | notebooks/OrthogonalPolynomials.ipynb |
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# # Plotting massive data sets
#
# This notebook plots... | bindings/pydeck/examples/04 - Plotting massive data sets.ipynb |
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##fizz buzz; for nums 1 to 100 print:
## num if no... | Note_books/Explore_Models/Untitled1.ipynb |
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# ### 66. Plus One
# #### Content
# <p>Given a <stron... | 51-100/66.plus-one.ipynb |
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import nltk
from nltk.tokenize import sent_tokeni... | Chapter03/TF-IDF.ipynb |
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# + id="PH5LgcD_eYZH" colab_type="code" colab={}
import pandas as pd
import r... | DrugsScrap.ipynb |
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# # 911 Calls Capstone Project
# For this capstone pr... | 6.Calls Capstone project/911 Calls Project.ipynb |
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# + [markdown] id="1bwt4pT9zPNB"
# # **Integer Programming Method for Edge Da... | Code Sem 8/Integer Programming 2/BTP_IP_Phase2.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/model.ipynb |
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# To follow this tutorial, you need to install the [ge... | examples/notebooks/25_load_rasters.ipynb |
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# + [markdown] heading_collapsed=true
# # PA003: Churn... | notebooks/.ipynb_checkpoints/v3.0_model_churn-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import matp... | MNIST-2/App.ipynb |
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import gc
import os
import cv2
import sys
import j... | experiments/DF20-Mini-ViTxCNN/EfficientNet-B3-224.ipynb |
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# # VAR Model - Predicting Housing Price
#... | Model1_VAR_HousingPrice.ipynb |
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# # Final Thoughts
#
# This brings us to the conlusion... | DL-Keras_Tensorflow/Lesson 22 - Final Thoughts.ipynb |
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# + [markdown] tags=[]
# # Hurrican... | hurricane_recovery_5classes.ipynb |
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# name: python37664bitunivaicondac2ef9ed2809... | _notebooks/2020-03-21-DashboardV1.ipynb |
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# ## Contact angle solver Young-Dubré
# ### Loading i... | young-dupre.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Age_and_Gender_Prediction.ipynb |
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# # Principal Component Analysis Tutorial
import nump... | pca_tutorial.ipynb |
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# # Open CamHD database on Pangeo (ooi.pangeo.io... | open_database.ipynb |
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# + [markdown] colab_type="text" id="wJcYs_ERTnnI"
# ##### Copyright 2018 The... | site/en/r2/guide/migration_guide.ipynb |
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# # Exercícios com Inteiros
#
# ## Exercício 1
# Dada... | Macmulti/exercicios_com_inteiros.ipynb |
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# # Using the Jupyter Graffiti API
#
# Jupyter Graffit... | user_manual/Graffiti API.ipynb |
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# + id="6kyrAlHMGFWa" colab={"base_uri": "https://localhost:8080/", "height":... | COVIDcnn.ipynb |
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from zipfile import ZipFile
import pandas as pd
import... | .ipynb_checkpoints/Jupiter-checkpoint.ipynb |
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# + id="8nIg0LFrEzP2" colab_type="code" colab={}
# Que 1
# + id="ZkQMh-GrE3a... | Assignment2.ipynb |
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from aalpy.SULs import MdpSUL
from aalpy.learning_... | notebooks/MDP_Example.ipynb |
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# ## Decision Trees
#
# - Simple Tree like structure, ... | 13. Decision Trees/Decision Trees.ipynb |
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import pandas as pd
from glob import glob
import numpy... | LOGISTIC REGRESSION MODEL.ipynb |
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import pyodbc as serv
# +
driver = '{ODBC Driver 17 f... | App-Side (Edward)/Database Handler (Py)/.ipynb_checkpoints/DatabaseConnection-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | notebooks/2018.11.20 PyData Presentation.ipynb |
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# + papermill={"duration": 1.879449, "end_time": "... | gather/inputs/reports/report-gather-SRR12324253.ipynb |
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import tensorflow as tf
from tensorflow import keras
f... | BCNcode/0_vibratioon_signal/1250/CN/CN_1250-021-512-x.ipynb |
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# # DBSM Altbestands-Analyse
import requests
from bs4... | dea-testimport.ipynb |
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import pandas as pd
import numpy as np
from sklear... | ML & Prediction.ipynb |
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# # Copyright Netherlands eScience Center <br>
# ** Fu... | Analysis/AMET_analysis_series_report4D3.1.ipynb |
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# # Demo Prophet Time Series Forecasting o... | forecasting_demos/nyctaxi_prophet_simple_MEDIUM_data.ipynb |
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# # Neural Nets t1
# In which I attempt some structure... | nbs/OLD/nnt1.ipynb |
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# Click the button below if you want to see the code b... | Where does e come from.ipynb |
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# # plot MI decay for birdsong
import pandas as pd
fr... | notebooks/birdsong/10.0-birdsong-plot-MI-decay.ipynb |
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# %matplotlib notebook
# Dependencies
from matplotlib import p... | 05-Matplotlib/3/Activities/06-Stu_Standard_Error/Solved/samples.ipynb |
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# # SimPEG DC&IP 3D Inversion
#
# <img ali... | geoapps/applications/Inversion_DCIP_app.ipynb |
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# # Decision Trees: Pre-prunning
from sklearn.dataset... | course_2/3_DT/DT_pre-pruning.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 553} id="KOlOmwIy... | Irirs_kedro/get-started/notebooks/multilingual_ext.ipynb |
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# %matplotlib notebook
import tensorwatch as tw
clien... | notebooks/demo/simple_logging.ipynb |
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# # Computational Astrophysics
# ## Ordinary Different... | 10._ODE1/presentation/ODE01.ipynb |
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import pandas as pd
medicare = pd.read_csv("/netapp2/h... | EHR_Only/BART/.ipynb_checkpoints/Comp_ND_SMOTE-checkpoint.ipynb |
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# <address>
# © 2018 by Dr. <NAME><br... | FFTs_and_complex_numbers.ipynb |
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# # Programming Exercise 5:
# # Regularized Linear Reg... | Program's_Contributed_By_Contributors/AI-Summer-Course/Assignments/ml-coursera-python-assignments-master/Exercise5/exercise5.ipynb |
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# # Hands On #4 - Balancing Cart Pole w/Q-learning
#
#... | solutions/Q_Learning_01.ipynb |
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# # In this Notebook, We will Predict stock price of A... | Apple_stock_prices.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Operations_and_Expressions.ipynb |
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# ## Support Vector Regression (SVR)
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# %matplotli... | section7/Lecture46.ipynb |
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import tensorflow as tf
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# We will focus on integers and floating point numbers... | Lecture 01 Basic Data Types.ipynb |
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# First-class funtions
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def factorial(n):
'''r... | notebook/fluent_ch5.ipynb |
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from pynq.overlays.base import BaseOverlay
base = ... | Pynq_Neil_Copy_05.23/jupyter_notebooks/base/arduino/Testing/State Machine Test.ipynb |
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# + [markdown] id="EpJAJBvziTTP"
# ### Post processing: ner-multi-fast
# + c... | code/Flair_postprocessing.ipynb |
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# # Методы анализа неоднородных данных
# ## Домашнее з... | Multilevel reg. FWL and FE-estimator.ipynb |
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# # Example notebook
#
# > Time series classification ... | _example_tsai.ipynb |
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# # Alignment and centrality
#
# #### In this notebook... | src/LRAM - tie strength.ipynb |
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mylist = [1,2,3]
myset = set()
type(myset)
class S... | OOP.ipynb |
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import os
imp... | src/examples/get-results-from-sacred.ipynb |
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import sqlite3
conn = sqlite3.connect('tutorial.cs... | pythonDatabase.ipynb |
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# ## Train LSTM Network to Predict Occurrence of Next ... | notebooks/train_model.ipynb |
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from gs_quant.session import GsSession
client_id ... | GetData.ipynb |
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# # Mouse Peripheral Blood - merging annotated samples... | notebooks/data_preprocessing/immune_cells/merging/MCA_PB_merging.ipynb |
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# ### Import Libraries
import numpy as np
import matp... | ML & DL Prediction Model/Breast Cancer Diagnosis/Breast cancer Prediction(Linear Regression).ipynb |
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# + [markdown] id="tsEBfvuJ2bqj"
# ## Finetuning a net... | .ipynb_checkpoints/part2-checkpoint.ipynb |
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#https://www.youtube.com/watch?v=Z-5wNWgRJpk
import nu... | Jupyter/StockPrice/S&P500_ML.ipynb |
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# # Construction of pYPK0_TPI1_HIS3_ENO2
#
# [pYPKa_Z_... | notebooks/pYPK0_TPI1_HIS3_ENO2.ipynb |
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# # Python: Essential Containers
#
# Let’s now delve f... | lectures/ch03-containers.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | Section 15. Linear Regression/Linear Regression with Python.ipynb |
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# # 1.0 Libraries For Preprocessing
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i... | notebooks/preprocessing.ipynb |
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# # 3. Train-Predict KNN
# Result:
# - Kaggle score:
#... | landmark-recognition-challenge/3. Train-Predict KNN.ipynb |
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import numpy as np
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# # read and transform google form data
# Google Form:... | learn_jupyter/14_pandas transform google form data.ipynb |
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# # "Visualizing COVID-19"
# > "DataCamp Project: Visualizing COVID-19"
... | _notebooks/2020-04-03-Visualizing-COVID-19.ipynb |
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# # Fourier Analysis
import matplotlib.pylab as plt
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# ## Magic
# JupyterLibrary provides a few lightweight... | docs/MAGIC.ipynb |
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# # RCS XML
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# https://www.w3.org/TR/xml/
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# h... | XML/RCS XML.ipynb |
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import matplotlib.pypl... | Cercalab0b.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="wHmOCoJsfgOu" outputId=... | FinalModelCodes/TemplateMatching_final.ipynb |
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import os
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# # Bootstrap and Jackknife comparison
#
# In this not... | notebooks/jackknife_vs_bootstrap.ipynb |
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# # Scikit-Learn IRIS Model Using Flatbuffers Protocol... | examples/models/sklearn_iris_fbs/sklearn_iris.ipynb |
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# # Predi... | example_notebooks/composition_example.ipynb |
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# default_exp utils.google_sheet
# -
# # utils.go... | notebooks/utils_google_sheet.ipynb |
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# # So easy, *voilà*!
#
# In this example notebook, we... | notebooks/basics.ipynb |
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# # Tutorial #2 Plotting Poster... | docs/_static/notebooks/tutorial2.ipynb |
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# # Gaussian Process (GP) smoothing
#
# This example d... | docs/source/notebooks/GP-smoothing.ipynb |