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# <h1>Table of Contents<span c... | deep_learning/multi_label/nsw.ipynb |
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greetings = "<NAME>"
print(greetings)
# ### Libraries... | Jupiter Book/Area Plots, Histograms, and Bar Plots.ipynb |
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# + deletable=true editable... | Kapteyn Radio Telescope.ipynb |
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# This note provides basic... | 07_priceReturnDist.ipynb |
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# ## Israel Mapping Data
#
# For now just a pile of co... | notebooks/israel-mapping-xml.ipynb |
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# + id="BKrIssRxE0Zf" colab={"base_uri": "https://localhost:8080/"} outputId=... | Google Colab Tutorials/Exploratory_Data_Analysis_&_Modeling_with_Python_and_R.ipynb |
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# # Example 4b: Fermionic single impurity model
#
# ##... | examples/example-4b-fermions-single-impurity-model.ipynb |
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# # Library Fine
# +
# #!/bin/python3
import sys
de... | Algorithms/Library Fine.ipynb |
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# I want to create a data-driven model to better predi... | Dataset-Scrape-And-Analysis.ipynb |
# # Decision tree for regression
#
# In this notebook, we present how decision trees are working in regression
# problems. We show differences with the decision trees previously presented in
# a classification setting.
#
# First, we load the penguins dataset specifically for solving a regression
# problem.
# <div clas... | notebooks/trees_regression.ipynb |
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# + id="l5mSViZt7HqP" colab_type="code" colab={"base_uri": "https://localhost... | day4.ipynb |
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from time import time
from os import getenv
import pan... | seismic_inversion_2021/notebooks/03_read_cloud_wells.ipynb |
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# ## 用Keras Tuner实现超参数搜索
# 安装keras-tuner:
# ```shel... | Chapter01-ML-basics-with-Keras/07-keras-tuner.ipynb |
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# # Load MEDLINE
# The MEDLINE loader process in ... | docs/src/notebooks/5_load_medline.ipynb |
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# __<NAME> & <NAME>__
# __Imports__
import numpy as ... | Spark_Twitter_Analysis.ipynb |
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# ## Setup
from ... | analyses/seasonality_paper_2/no_temporal_shifts/model.ipynb |
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# Let's see if we detected anything this time?
# +
im... | ltt1445a_redo.ipynb |
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# #### Data preparation
import numpy as np
np.random.... | Chapter8_MetricsAndEvaluation/GridSearch/GridSearch.ipynb |
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# # Notebook 3b - Breakdown Soil Type
#
# ... | notebooks/Notebook 3a - Soil Feature Engineering.ipynb |
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# ![Noteable.ac.uk Banner](https://github.com/jstix/mr... | GeneralExemplars/Coding Activities for Schools/Advanced Higher/while_arrays_AdvHigher.ipynb |
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# + [markdown] id="G40l9lO2ObLr"
# <center><img src=".... | hws/HW2/HW2_logic_methods_theory_Sviridov_Oleg_4bSwMOr.ipynb |
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import scipy.io
from scipy import interpolate
impo... | func_test-python2.ipynb |
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# ### Imports
from PW_explorer.load_worlds import loa... | Symmetry-Degree-of-a-Query.ipynb |
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# + [markdown] colab_type="text" id="t5DCDUTabzzY"
# I... | Notebooks/How_to_use_Kallisto_on_scRNAseq_data.ipynb |
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from functools import reduce
import operator
impor... | analysis/cospar/working_020.ipynb |
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import numpy as np
import pandas as pd
import plotly.g... | Data Visualization/Plotly/1. Load Datasets.ipynb |
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import numpy as np
import matplotlib.pyplo... | tf-tutorial/mnist/tf-mnist-tutorial-multinomial-logistic-regression.ipynb |
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import pandas as pd
import numpy as np
import matp... | .ipynb_checkpoints/Modelling_daybin_cat-Copy1-checkpoint.ipynb |
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# # Exploring New Alloy Systems with Pymatgen
# #### ... | workshop/lessons/06_new_systems/06 - New Systems - blank.ipynb |
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# + [markdown] id="CazISR8X_HUG"
#
# + [markdown] id="WnJB6v7IIz6p"
# #<NAME... | ML/Regression/Multiple Linear regression/Copy_of_multiple_linear_regression.ipynb |
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# ## Study session 11 - classes
# ### BIOINF 575 - Fal... | study_sessions/study_session11_classes_solution.ipynb |
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# +
import requests
import random
import json... | Systemcode/imental-Chatbot/Baidu_AISTUDIO_BML_Codelab/baidu_translate.ipynb |
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# # Auto Visualization using pandas_visual_analysis
#... | EDA/Auto Visualization/PandasVisualAnalysis.ipynb |
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# # NLP Exercises
#
# We have five exercises in this s... | ML1/nlp/106_NLP_Exercises.ipynb |
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import numpy as np
import cv2
import matpl... | OpenCV_Object_Detection/04 - Object Detection.ipynb |
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# # Bootstrap Examples
# _This setup code is required... | examples/bootstrap_examples.ipynb |
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# # Food Group Nutrients Analysis - RightFood_Healthy... | Notebooks/RightFood_HealthyLife_EDA.ipynb |
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# # Setup
# +
# Set threshold for when motion is dete... | Figure 09d-e - Motion detect all video files in a folder.ipynb |
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# # How to Render a Metal Design into Ansys
# ## Prer... | tutorials/5 All QRenderers/5.1 Ansys/Ansys QRenderer.ipynb |
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# # RNA World Hypothesis
#
# RNA is a simpler cousin o... | content/07/2/.ipynb_checkpoints/RNA World-checkpoint.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | notebooks/paper_figures/make_fig_2.ipynb |
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# # The Modern House Premium
#
# [The Modern House](ht... | ModernHouseScraping.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
i... | Source_Code.ipynb |
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# ##### iris 데이터
from sklearn.datasets import load_ir... | machinelearning/classification/basic/make_classification_intro.ipynb |
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# ## Vocabulary building on Semantic Scholar
#
# The s... | 2_vectorization/Semantic scholar vocabulary.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module2/assignment_applied_modeling_2.ipynb |
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/ + [markdown] cell_id="00000-8fe37c28-fbd7-47c9-bad4-b2527b2de557" deepnote_cell_type="markdown" tags=[]
/ # Medidas d... | descriptive-statistics/descriptive-statistics-course/notebooks/[clase-07]medidas-central.ipynb |
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import syft as sy
# # Part 1: Join the Duet Server th... | Foundations_of_Private_Computation/Federated_Learning/duet_basics/exercise/Exercise_Duet_Basics_Data_Scientist.ipynb |
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# + [markdown] colab_type="text" id="jrI6q7RmWQam"
# <... | lab3/RL.ipynb |
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# %load_ext autoreload
# %autoreload 2
# %matplot... | overview_val10/overview_junk/overview_all_svm_gdf-small_r_s-sigmoid_kernel.ipynb |
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# ### Optimizing the SVM Classifier
#
# Machine learni... | NB5 OptimizingSVMClassifier.ipynb |
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# + deletable=false editable=false run_control={"froze... | cryptographic_services/secrets_offidoc.ipynb |
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# + [markdown] id="cb6oxCjrNaIR"
# # Spectrally Normal... | 06-SNGAN-MNIST-PyTorch.ipynb |
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# The aim of this project is to use a simple dataset t... | strokePrediction.ipynb |
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# # ML Basics
# **What is linear regression?**
#
# In... | notebooks/MLBasics.ipynb |
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# # Survey EDA based on care giver
#
#  on Near In... | examples/PLSR/.ipynb_checkpoints/PLSR_on_NIR_and_octane_data-checkpoint.ipynb |
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import torch.nn as nn
import torch.nn.functional as F
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results_dir = './results/'... | notebooks/UCI.ipynb |
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{-# LANGUAGE LambdaCase #-}
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"""
Author: <NAME>
This file is under MIT License.
Link: https://... | SA.ipynb |
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# # Query Marius Output for WN18 #
# This notebook shows the step... | examples/inference/wn18/query_deom.ipynb |
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all_base_matrices = np.concatenate((pod.matrices, sym_... | krysztalki/workDir/proba/tabliczka mnozenia/reduce_cell_tabliczka_mnozenia-Copy1.ipynb |
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import os
import binascii
from PIL import Image
from I... | 6.sem/reversecup2019/2.map/map.ipynb |
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allcountries = []
# !ls Custom
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import plotly.gr... | .ipynb_checkpoints/021-plotly.graph-Deaths-by-Country-checkpoint.ipynb |
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# # Itinerary
#
# ## Intro
#
# * [Download larger file... | Itinerary.ipynb |
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"""
Single galaxy simulations: determine t... | notebooks/Single-simulation.ipynb |
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# + [markdown] id="7OQ5XB1xdtRD"
# ### VGG16 Image Captioning.
# + [markdown... | 18_Image_Captioning/03_Image_Caption_Splits.ipynb |
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import numpy as np
import pandas as pd
da... | ML2/linear_regression/Untitled.ipynb |
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/ + cell_id="61b59a28-1fd4-4692-8385-1b48336f7075" deepnote_cell_height=99.46875 deepnote_cell_type="code" deepnote_to_be_reexecuted=false exec... | AnalysisData/Step03-PassingAnalysis.ipynb |
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# ## Intro to using Pandas - with healthcare for all d... | class_1/pandas intro 2 with annotation-students-wip.ipynb |
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# Dictionary example
dict = {1:"Maryam","Lastname... | PYTHON PRACTICE/PYTHON-DATA-TYPE-Dictionary.ipynb |
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# # Generating Specific Handwritten Digit Using CGAN
... | Chapter09/9.02 Generating Specific Handwritten Digit Using CGAN.ipynb |
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import gmaps
import numpy as np
import pandas as p... | Heatmap_of _top_100_cites_in_Vermont_2.ipynb |
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# This notebook was used to generate the inputs and ex... | Sources/libosp/python/test/Fir_Filter-MakeTestData.ipynb |
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def remove_html(text):
cleanr = re.c... | Tokenize.ipynb |
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import numpy as np
import pandas as pd
import os
impor... | EAI 6000 - FoAI/Discussions & Assignments/Week 2 - Funadamentals of AI Assignment.ipynb |
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# # Off-policy Ensemble
# +
#load infowave data
impor... | .ipynb_checkpoints/Off_policy_Ensemble-checkpoint.ipynb |
// -*- coding: utf-8 -*-
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os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"... | notebooks/test/standard_multitask_adversarial_bootstrap_test-Copy1.ipynb |
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# # Flask Survival Guide
#
# [Flask](https://flask.pal... | Bonus_resources/deployment/1.Flask/1.Introduction.ipynb |
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# # Histograms
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# **Teammates: <NAME>, <NAME>, <NAME>... | VisualizationLessons/histograms.ipynb |
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from nbdev.showdoc import *
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# #... | Day 13,14 - EDA.ipynb |
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# # Automatic sleep staging
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# This notebook demonstr... | notebooks/14_automatic_sleep_staging.ipynb |
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# # cGAN Generate Synthetic Data for Germa... | cGAN-German_october26.ipynb |
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# ### Exercise
#
#
# Download the [gene expression can... | homework/week04_assignment.ipynb |
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# # Tipos de dados
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# Dados comuns do nosso dia-a-dia... | Tipos de dados no Python.ipynb |
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# # Exploring Raw Data
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sys.path.append("..... | notebooks/raw_data_exploration.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="jKplW26sWhxM" outputId=... | PROJECT/CS698R-Project-Foraging-in-Replenishing-Patches-7-main/notebooks/DRL/MDP_Foraging_PPO.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | machine-learning-notebooks/04-Deploy-Trained-Model.ipynb |
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# <img src="http://hilpisch.com/tpq_logo.png" alt="The... | code/b_bsm/b_bsm_option_class.ipynb |
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# - Abstract - Train a classification model on a d... | Technical Notebook/Mid_Term_Mushroom_Hist_LogReg.ipynb |
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# -*- coding: utf-8 -*-
###
# Demonstration of MR ... | notebooks/MR/c_coil_combination.ipynb |
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# This module focuses on Basic Visualization Tools
# ... | 02 Second Module.ipynb |