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#Load data from train & test data set
from scipy.i... | jupyter/keras-model.ipynb |
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# # Dependencies
# + _cell_guid="b1076dfc-b9ad-4769-8... | Model backlog/Deep Learning/[2nd] Bi LSTM - Baseline.ipynb |
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# + id="JoMbQLjK3uHZ" colab_type="code" colab={"base_uri": "https://localhost... | Harshitha/Copy of Complex_Assignement_harshitha.ipynb |
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# + [markdown] colab_type="text" id="g_nWetWWd_ns"
# ##### Copyright 2018 The... | site/en/r2/tutorials/keras/save_and_restore_models.ipynb |
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# + [markdown] colab_type="text" id="MRXgvNO4GGTK"
# #... | Day 3/01 - Multilayer Perceptron [MLP].ipynb |
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# # Data Preprocessing
# ## Importing Libraries
# +
#importing L... | notebooks/data_preprocessing.ipynb |
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# Import Dependencies
import time
import pymongo
impor... | scrape_mars.ipynb |
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# # Task 4 (Guided Exercise)
# This notebook is ... | milestone3/Milestone3-Task4.ipynb |
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import pickle
import numpy as np
from sklearn.neig... | MLGame/games/snake/ml/others/train.py_ian.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | pandas_plot.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | miniprojectsem4/.ipynb_checkpoints/prac-checkpoint.ipynb |
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import numpy as np
import h5py
import json
import ... | JpytrNb/jupyter/Gas-z-A2(MatchData).ipynb |
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import tensorflow as tf
from tensorflow import keras
f... | TensorFlow-2.0/04-CNN/Untitled.ipynb |
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# # 100 numpy exercises with hint
#
# This is a collec... | NumPy/100_Numpy_exercises_with_hint.ipynb |
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# ## How To Create Custom Quantum Feature Maps
#
# In ... | docs/how_tos/create_custom_quantum_feature_map.ipynb |
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# + id="mYJ3KGNAa0Ix"
import tensorflow as tf
import numpy as np
# + id="0fd... | Experiments/HateSpeechDetectionModels/otherExperiments/DNN/Offensive2020-SharedTask/Try and error Experiments/Copy of text_classification_Keras_HS_offiensive2020.ipynb |
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# name: python37564bitanaconda3virtu... | logistic-regression.ipynb |
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# # Quadrupole
# ## Imports
import slhfdtd
from matplotlib impor... | simulations/quadrupole.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
# %... | scikit/Chapter 7/Text Data Motivation.ipynb |
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# # Modelling a non-stationary poisson pro... | labs/simulation/lab4/sim_lab4_nspp_STUDENT.ipynb |
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# ## Demo: process synchronization
# The basic steps t... | notebooks/11_Process_synchronization.ipynb |
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# + [markdown] id="zMIrmiaZxiJC"
# # Automatic v... | docs/jax-101/03-vectorization.ipynb |
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# # Lab 8
# Last week we used the improved Euler metho... | notebooks/lab-08.ipynb |
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# # A simple parameter exploration
#
# This notebook demonstr... | examples/example-1.1-custom-parameter-exploration.ipynb |
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# + [markdown] colab_type="text" id="NooAiTdnafkz"
# #... | Sprint challenge/Jean Fraga DS_Unit_1_Sprint_Challenge_3_(2).ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:eu-west... | 07-module-feature-monitoring/m7_nb1_feature_monitoring.ipynb |
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# **Chapter 13 – Loading and Preprocessing Data with T... | 13_loading_and_preprocessing_data.ipynb |
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# + id="FGoGtt4XK1wJ" colab_type="code" colab={"base_uri": "https://localhost... | Proyectos-guia/Lyrics-Generation-using-BERT-master/code/bert_baselines.ipynb |
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# # RGB colorspace
# ### Import resources
# +
import... | 1_1_Image_Representation/2. Visualizing RGB Channels.ipynb |
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# + [markdown] id="5sidCNvBBc8o"
# # Multiclass Classification
#
# In the las... | 11. Train and evaluate multiclass classification models.ipynb |
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#hide
from nbdev_end2end.core import *
# # **nbdev**牛逼开发... | index.ipynb |
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# # Example Seldon Core Deployments using Helm
# <img ... | notebooks/helm_examples.ipynb |
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# + [markdown] colab_type="text" id="tN1oN... | Jupyter/M09-Optional/SIT742P02B-StructuredDataNumPy.ipynb |
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# + [markdown] id="agrdrUc10xST" colab_type="text"
# ## IMPORTS
#
# + id="q4... | radar_chart.ipynb |
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# + id="ncqsDZUKl9yK" colab={"base_uri": "https://localhost:8080/"} outputId=... | NER_BERT.ipynb |
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import pandas as pd
import numpy as np
import json... | notebooks/Clean_gold/Clean_v3.ipynb |
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# %matplotlib inline
#
# # Reading BEM surfaces from ... | 0.12/_downloads/plot_read_bem_surfaces.ipynb |
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# # 5장 제어문
# ## 5.1 조건에 따라 분기하는 if 문
# ### 단일 조건에 따른... | Chapter_05_if_for_while.ipynb |
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# ## This notebook is an implementation of the article... | Automatic image-based segmentation of the heart from CT scans.ipynb |
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# + [markdown] id="h2q27gKz1H20"
# ##### Copyright 2019 The TensorFlow Author... | tensorflow/lite/g3doc/tutorials/model_maker_image_classification.ipynb |
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import numpy as np
import pandas as pd
import plo... | Untitled.ipynb |
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# # Chapter 6: Ensemble Methods
# ___
#
# ## Exercises... | notebooks/ch6.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tarea8.ipynb |
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import matplotl... | 00_why_python.ipynb |
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from io import BytesIO
import os
import pandas as pd
i... | provenance_lib/notebooks/zf_to_metadata_df.ipynb |
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# + tags=[]
import os
import socket
from p... | scripts/notebook-python-spark.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <di... | master/0_index.ipynb |
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from openrtdynamics2.dsp import *
import math
impo... | vehicle_control/trajectory_generation.ipynb |
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// # Lab Five
// ---
//
// For this lab we're go... | JupyterNotebooks/Labs/Lab 5.ipynb |
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# # Fit the CB models based on optimized parameters
#... | code/1.4.3_Content_Filtering_Fullmatrix_pred.ipynb |
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# # Load Iris Dataset
import numpy as np
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# ## 2.3. Hyphotesis Final List
# **1.** Female patie... | final_project/Untitled.ipynb |
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# ### Suppose we have `n` features and `m` observation... | notebooks/Multivariate-Linear-Regression.ipynb |
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# two types of arguments:
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# # Using Container classes
#
# `ctapipe.core.Containe... | docs/examples/containers.ipynb |
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# + id="DH-dWGjDN1mn"
pip install visualkeras
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# # Lab 1
# ## Overview
#
# Welcome to your first (or... | notebooks/001-datastructures.ipynb |
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# ## Exploring Preprocessed fMRI Data from fMRIPREP
#
... | code/02-exploring_fmriprep.ipynb |
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#We can create numpy arrays with more than one dim... | PythonNumpy2DArrays.ipynb |
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# # Lecture 19: Stochastic Gradient Descent
# In the ... | Data Science and Machine Learning/Introduction to ML Notebooks/Introduction to ML with Python (UCI)/Lecture-19-Stochastic-Gradient-Descent.ipynb |
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import pandas as pd
import s3fs
# Redshift Server De... | convert-delta.ipynb |
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# # Sentiment Classification & How To "Frame Problems"... | sentiment-network/Sentiment_Classification_Projects.ipynb |
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import pandas as pd
iris_data = pd.read_csv('iris... | case3-iris_data/basic.ipynb |
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from collections import defaultdict
# Sanity check of... | Day08.ipynb |
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# # Neural networks from scratch in numpy
import nump... | numpy-neural-networks.ipynb |
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# # Materialien zu <i>zufall</i>
#
# Autor: <N... | zufall/mat/aufgaben18.ipynb |
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# ## ADS4 - Champion/Challenger demo
# ## Credit risk ... | FannieMae_credit_ risk_Champion-Challenger.ipynb |
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// ## This demonstrates Tribuo classfication for... | notebooks/classifier/Tribuo Classifier.ipynb |
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# Notebook for investigating JONSWAP waves. <br/>
# Re... | examples/metocean/JONSWAP.ipynb |
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# # [optcutfreq](https://pypi.org/project/optcutfreq)
... | docs/optcutfreq.ipynb |
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import pyart
import os
import numpy as np
from mat... | notebooks/Reanalysis over Portland.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | science/notebook/matplot-animation.ipynb |
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import math
from pandas import *
csvfile = read_csv('t... | src/jupyter_contrib_nbextensions/TestFiles/Control_Unordered Notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Smart_Home.ipynb |
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# + [markdown] id="PA9WOB4zJfCu" colab_type="text"
# # To install `QMCTorch` ... | notebooks/qmctorch.ipynb |
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# # ARMA(p,q) and ARIMA(p,d,q)
# # Autoregressive Movi... | tsa/jose/08_General Forecasting Models/64_ARIMA.ipynb |
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import copy
def edges(flights):
ret = {}
... | daily/20191023.ipynb |
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# # Distributed TensorFlow
#
# description: train ... | notebooks/tensorflow/train-mnist-distributed.ipynb |
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# %load_ext Cython
# + magic_args="--annotate" langu... | Untitled.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="X0qI6s3pTQPW" outputId=... | geoloc.ipynb |
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# ## Preprocessing
# +
# Import our dependenc... | Starter_Code.ipynb |
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os.environ['TRKXINPUTDIR']="/global/c... | notebooks/checks/layerless_check.ipynb |
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# # Extract Gene Sets
# This section will ... | genesCuration/monte-carlo/extract-gene-sets.ipynb |
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# + [markdown] pycharm={}
# # Hold me tight! Influence... | Hold_Me_Tight.ipynb |
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# # Python & h... | sesame/starter.ipynb |
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# # Matplolib Task
# +
import pandas as pd
import mat... | Day 4/alaroabubakarolayemi@yahoo.com(Matplotlib Task).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Smart Queue Monitoring System - Retail Scenario
#
... | Retail_Scenario.ipynb |
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import os
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# # Egypt serving malware
import pandas as pd
import ... | static/notebooks/eg-serving-malware.ipynb |
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# import relevant libraries
import numpy as np
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# # Settings
# %env TF_KERAS = 1
import os
sep_local ... | notebooks/Super_Resolution/denoising/Upsampling/ellwlb/CBSD68/CBSD68_Pre-Upsampling_Convolutional.ipynb |
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# **Neural networks for road segmentation**
# ========... | homework02/homework-part1-segmentation.ipynb |
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import torch
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