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# # T81-558: Applications of... | t81_558_class_11_02_word2vec.ipynb |
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# name: python385jvsc74a57bd0b56b5d003ce7c7c5c82b23db6a336f656ae3d97ce10f9ad7e92b7b5192c1... | back-end (for testing)/backtesting_combinations.ipynb |
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# # Comparisons
#
# A *Boolean* value is a ... | ipynb/03/Comparison.ipynb |
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# # An introduction to geocoding
#
# Geocoders are too... | talks/FederalDevSummit2019/AdvancedScripting_2019/demo/geocoding/introduction_geocoding.ipynb |
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# # Baseline tarea 1
#
# -----------------------------... | assignment_1_baseline.ipynb |
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import tree
hmo = tree.halomodule
wdir = "/home/hose... | scripts/dump_Galaxy_catalog.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Linear_Transformation.ipynb |
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# ## Exercise - Data ex... | 6-NLP/4-Hotel-Reviews-1/notebook.ipynb |
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import numpy as np
import pandas as pd
# ## Series
#... | Python Data Science Handbook/3. PANDAS BASICS.ipynb |
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# # Dataset description and classification
#
# The aim... | IT2/iris_binary_classification.ipynb |
# -*- coding: utf-8 -*-
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using Plots, Interact
@ma... | notebooks/Slider Example.ipynb |
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# + [markdown] id="8ODxDLvz4aBP"
# # INTRODUCCIÓN:
#
# ## Objetivo: que la re... | Red_Artificial_Clasificacion.ipynb |
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# \title{Bitwise Behavior in myHDL: Selecting, Shiftin... | myHDL_DigLogicFundamentals/myHDL_BitOperations/BitwiseBehavior_in_myHDL.ipynb |
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import numpy as np
import pandas as pd
from vtk import... | Tests/Data/ThermoHydroMechanics/Linear/Point_injection/lin_vs_quad.ci-skip.ipynb |
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import collections
import os
import json
import lo... | notebook/PFAM file format exploration.ipynb |
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# + [markdown] deletable=true editable=true
# #### New... | _posts/python-v3/3d/3d-wireframe/3d-wireframe.ipynb |
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import tensorflow as tf
from tensorflow.keras import d... | docs/CIFAR-10.ipynb |
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# + tags=[]
import numpy as np
import torch
print(torc... | Pytorch/Practices/2B_Linear_Regression_predictor.ipynb |
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# # With this notebook you can quantitatively evaluate... | docs/evaluation/QuantitativeEvaluation.ipynb |
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# + id="w0mHkDrqv1AA" colab_type="code" colab={}
# #to access kaggle datasets... | Model backlog/Google colab/Microsoft_Malware_Detection_DNN_[Test].ipynb |
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# <a href='http://www.scienceacademy.ca'> <img style="... | class_05_10/2_2_Emergency_Calls_Sol.ipynb |
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# # Instructor Turn Get Home Tweets
# !pip install tw... | Activities Week 7 (social analytics)/Social_Analytics_Part3/Day1/Day1_solved.ipynb |
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# + [markdown] _uuid="3215de40c2aa47024c52ebea2684eed3... | Walmart Sales Prediction Validation/.ipynb_checkpoints/walmart-baseline-sales-forecasting-lstm-checkpoint.ipynb |
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# # Examples for Lecture 4
#
# We... | week02/lecture04_examples.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 13-AI4Sound/Speech_Recognition_Training.ipynb |
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# # How to use the pre-... | Using pre-trained models.ipynb |
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# <a href="https://colab... | Control_and_Loop_Statements.ipynb |
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import pandas as pd
import os
import pickl... | POC/L1_Filler_Exact.ipynb |
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# !pip install pymedphys[user]==0.33.0
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import num... | prototyping/mosaiq/mosaiq-fields.ipynb |
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print("%x" % sys.maxsize, sys.m... | src/mchd_python/BWtek spectro.ipynb |
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# # amyloid dataset
# +
# Standard imports
import pan... | docs/datasets/dataset_amyloid.ipynb |
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# + [markdown] pycharm={"metadata": false}... | federated_learning/nvflare/nvflare_spleen_example/1-Server.ipynb |
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# # Network Testing
# ## Includes
# + code_folding=[... | test.ipynb |
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# + [markdown] id="lY8RnrT-nDfU"
# ### Character level name classification.
#... | 09_NLP/04_Character_Level_RNN/01_Character_Level_Name_Classification.ipynb |
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# # Decision Trees an... | .ipynb_checkpoints/model_5-checkpoint.ipynb |
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sys.path.append('../cocoapi/PythonAPI')... | img_caption/3_Demo.ipynb |
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# This notebook uses K-means algorithm to compute k an... | notebooks/compute_anchor_box.ipynb |
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if isinstance(x, list)... | notebook/print_len_lbyl.ipynb |
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import numpy as np
import pandas as pd
import matp... | notebook/gpg-2019.2.ipynb |
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import warnings
import tensorflow as tf
impor... | version1.0 Blues and EDM tests.ipynb |
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# %matplotlib inline
#
# # Model optimization
#
# Thi... | examples_jupyter/advanced/example_model_optimization.ipynb |
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# # Readability Exercise
#
# Welcome! Below you will i... | nlp/lesson6_basic_nlp/readability_exercise.ipynb |
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# # Post-Training Quantization of PyTorch models w... | notebooks/112-pytorch-post-training-quantization-nncf/112-pytorch-post-training-quantization-nncf.ipynb |
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# # Nodejs Tensorflow Example
#
# * Wrap a nodejs ten... | examples/models/nodejs_tensorflow/nodejs_tensorflow.ipynb |
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import pandas as pd
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import mat... | Final-Project/MovieLens.ipynb |
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# # Graph Visualization
#
# We've learned from... | notebooks/basic_graph_visualization.ipynb |
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import os
import numpy as np
import pandas as pd
fro... | Computer-vision/@PeterChenYijie kaggle-IsIceberg/gluon/stacking.ipynb |
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# This file is used to create the plots in Figure ... | CGD/.ipynb_checkpoints/bs_test-checkpoint.ipynb |
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pip install mlxtend
import pandas as pd
import matplo... | GFT.ipynb |
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# #### New to Plotly?
# Plotly's Python library is fre... | _posts/python/style/3d-surface-coloring/3d_surface_coloring.ipynb |
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# default_exp detect
# -
# # detect
#
# > Pose De... | 00_detect.ipynb |
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# ### TRAINING MODEL
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import numpy as np
i... | notebooks/train_predict.ipynb |
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# 분류 DNN 모델 구현 ########################
from keras... | old/2-3_04 dnn_cifar10_cl (dropout _01 _05).ipynb |
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from sklearn im... | SpectralClustering.ipynb |
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# # Causal Lasso
# !pip install torch cvxpylayers --u... | time_profiling.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 1-count_transform.ipynb |
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# # 2.2 Sklearn
# * 데이터 불러오기
# * 2.2.1. 싸이킷-런 데이터 분리
#... | Chapter2/2.2.sklearn.ipynb |
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# # convert the address to ... | scripts/1130address.ipynb |
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# + id="QfpXz-_1pBrJ"
import numpy as np # linear algebra
import pandas as pd... | Assignments/Assignment_03.ipynb |
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import pandas as pd
from sklearn import svm
original_... | pokemon_refining_for_svm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | machine_learning/lesson 3 - Neural Networks/challenges/neural_networks_1.ipynb |
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#Import dependencies
#================================... | Credit Risk Evaluator.ipynb |
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# + [markdown] id="ScitaPqhKtuW"
# ##### Copyright 2021 The TensorFlow Hub Au... | site/en-snapshot/hub/tutorials/image_classification.ipynb |
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# # Alaska Energy Data Site
#
# ## URL: ak-energy-data... | index.ipynb |
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# ## NumPy
# ##### Three Ways to Import
import numpy... | NumPy.ipynb |
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# # DecisionTreeRegressor with MinMaxScaler
# This Co... | Regression/Decision Tree/DecisionTreeRegressor_MinMaxScaler.ipynb |
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import sys
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# **Creating scatter plots with pandas, matplotlib, an... | _mynotes/.ipynb_checkpoints/nospaces-checkpoint.ipynb |
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# #!/usr/bin/env python
# coding: utf-8
# -*- codi... | intentional/src/main/python/charts.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import pandas as pd
import sagemaker
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# + raw_mimetype="text/restructuredtext" active=""
# M... | docs/examples/ex_TEBD_evo.ipynb |
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# # 1. Create package for generating Fibo and plotting... | package_example.ipynb |
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# # 便利な機能 💰
#
# このノートブックでは文字列操作に関する機能とウィンドウ関数について紹介しま... | notebooks/50_SQLBENRI.ipynb |
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# # Overview
# Currently, there are no overarching mea... | notebooks/01. Evaluating the Performance of Parking Availability Models.ipynb |
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import tensorflow as tf
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# <figure>
# <IMG SRC="https://raw.githubusercontent... | Computerprogrameren TUDelft/Notebook 02 Arrays/Halem_4597591_nb_notebook2(versie 2).ipynb |
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# +
import time, sys
# Import the Qiskit
from qiskit... | Deuteron with UCCSD ansatz and VQE circuits.ipynb |
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# # Distribucion Chi cuadrado
# Tambien es conocida c... | Semana-9/Estadistica 2.ipynb |
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# ## 2020년 2월 24일 일요일
# ### 프로그래머스 정렬 : H-index
# ### ... | DAY 001 ~ 100/DAY017_[Programmers] 정렬 H-index (Python).ipynb |
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import seaborn as sns
import numpy as np
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# Importing the libraries
import numpy as np
impor... | docker-and-aws/ta_lesson/model/train_model.ipynb |
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# + [markdown] id="Jjblr56uRTJf"
# 
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#exercises
my_dictionary_1 = {
'word':... | NikolayGhazaryanModul.ipynb |
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# - classifying based on proximity to other points
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sys.path.insert(0, '../Code/')
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import numpy as np
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# # Generate Dataset
# By <NAME> & <NAME>
# ### Load... | Jupyter Notebooks/01_Generate_Dataset.ipynb |
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# %matplotlib inline
import pandas as pd
import ma... | day4/2. Lab/.ipynb_checkpoints/canadian_weather-mycopy-checkpoint.ipynb |
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# #### **Title**: Slope Element
#
# **Dependencies**: Matplotlib
#
# **Backends**: [Bokeh](../bokeh/VLine.ipynb), [Matplotlib](./VLine.ipynb)
... | examples/reference/elements/matplotlib/Slope.ipynb |
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#
# # Dimentionality Reduction
# ## Modified example
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import pickle
import pandas as pd
import numpy as np
i... | GTEx_clock_regression.ipynb |
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# <center><h1>Data 245: Project</h1>
# <h2>NBA Pre... | Project/Data 245 Project_429 with Injuries.ipynb |