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# ## Exploring Activations
# I want to look at the acti... | 01_ExploringActivations.ipynb |
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import warnings
warnings.filterwarnings('ignore')
... | Homework-Assignments/Week 4 - Frozen Lake (Q Learning).ipynb |
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import gym
import inventory
import torch
import nu... | .ipynb_checkpoints/PPO_policy_plotting-checkpoint.ipynb |
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import pandas as pd
import numpy as np
import pickle
f... | notebooks/FeaturesPCA.ipynb |
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# # Neighborhood definitions
# In py-clEsperanto (and ... | demo/neighbors/neighborhood_definitions.ipynb |
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# # 単変量線形回帰の予測区間
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import numpy as np
from scipy i... | scikit-learn/SimpleLinearRegression/PredictionInterval.ipynb |
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from pyspark import SparkContext, SparkConf
import os
... | median/median.ipynb |
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# + [markdown] id="z1PSyPUbbo3D"
# ### PARTE 1 - COME INTERAGIRE CON LE API
... | riassunto_per_frettolosi.ipynb |
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# # Exploring precision and recall
#
# The goal of thi... | Course3/week6/module-9-precision-recall-assignment-blank.ipynb |
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# + [markdown] slideshow={"slide_... | m02_data_analysis/m02_c01_scientific computing/m02_c01_scientific computing.ipynb |
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import torch
from torch.autograd import Variable
impor... | code/Results1D/randomInitialization/DRM_index_ResNet_Uniform.ipynb |
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import pandas as pd
import category_encoders as ce
imp... | notebook/categorical_transformer.ipynb |
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from bs4 import BeautifulSoup
from bs4 import Beautifu... | 2019_AllTeams_WinLoss.ipynb |
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# # Feature importance
# In this notebook we illustrat... | examples/4_feature_importance.ipynb |
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# + [markdown] colab_type="text" id="NT0fN... | Data-Science-Portfolio-master/Text Analytics/Named_Entity_Recognition.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
# ... | News_Demo_Graphics .ipynb |
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# %pylab inline
from astropy.io import fits
import... | data/.ipynb_checkpoints/DoAr44_data-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="gqwrcHFAVwgs"
# #... | docs/source/quick_start.ipynb |
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# # sentence segmentation in text
# # 01... | 1st task for university graduation project.ipynb |
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# # Визуализация данных в Matplotlib.
# ## Задание 1
... | Lesson04/Matplotlib.ipynb |
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import pyluos
from pyluos import Device
device = Devic... | Untitled1.ipynb |
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# ### LDA Tutorial
#
# Taken from https://www.machinel... | Machine_Learning/LDA.ipynb |
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# + [markdown] colab_type="text" id="pXMdEU-qHQHh"
# T... | module4-classification-metrics/Unit_2_Sprint_2_Tree_Ensembles_Study_Guide.ipynb |
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# name: python37664bitpytorchconda0cdad03962454fdfb22b6d3ea1ad8fae... | Ch02_Preliminaries/2-5-3.ipynb |
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# # 1D Kalman Filter
#
# Now, you're ready to implemen... | 3_Motion_SLAM/1D Kalman Filter.ipynb |
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# + [markdown] id="u3Zq5VrfiDqB"
# ##### Copyright 2021 The TensorFlow Author... | site/en-snapshot/probability/examples/Variational_Inference_and_Joint_Distributions.ipynb |
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# # ACOPF with [PowerSimulations.jl](https://githu... | notebook/3_PowerSimulations_examples/06_ACOPF.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pytorch_Learning_6_GPU.ipynb |
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# # Assignment1
#
# Name: <NAME>
#
# ID: 11712121
# #... | CS324_Deep-Learning/Assignmnet1/Part 1/11712121_assignment1.ipynb |
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# # Setup
# +
from day2 import puzzle3
from day2 import puzzle4
sample_inpu... | AdventofCode2020/timings/Timing Day 2.ipynb |
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# ### Quiz : `# TODO` 부분에 코드를 입력하여 아래와 같은 출력결과가 나오도록 코... | python/Exam/01_python_numpy_pandas_gunhoko.ipynb |
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# + [markdown] id="okAZVx9nb9Es"
# # Drive mount code
# + id="Re1cOmeea_7J" ... | CSE 4238 - Soft Computing Lab - Assignment 3.ipynb |
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# # Demo of PYPIT on GMOS Longslit [v1.1]
# v1.1 -... | doc/demos/GMOS_longslit.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | ML -IBM/templ/Felix NB for Machine Learning Assignment.ipynb |
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# Download GNPS data <br>
# Replace Job ID below with ... | Example_notebooks/Mass2Motifs_2_Network_FeatureBased.ipynb |
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from os import path
from collections import deque
... | Studies_on_DFS_Partitioning_Segmentation/DFS_identificar_segmentos.ipynb |
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# # Chapter_23
#
# ## 1. Introduction
#
# All in this ... | python3/Chapter_23_Map_Filter_List_Comprehensions_and_Zip(Not finished).ipynb |
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# # Loading data into machine learning
#
# In this not... | notebooks/01-loading-data.ipynb |
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# <h1> Time series prediction, end-to-end </h1>
#
# Th... | courses/machine_learning/deepdive/09_sequence/sinewaves.ipynb |
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# # Growth Tutorial Overview
#
# This barebones tutorial ... | tutorial.ipynb |
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# # Deduplication Example
# ## Boilerplate
# %load_e... | notebooks/Deduplication-Example.ipynb |
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# ### Considering the Trending Technologies we will ch... | Programming Languages Used in top technologies/2019-2021/2019-2021.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy a... | findpeaks_clinical/clinical_bcg_findpeaks.ipynb |
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# # 三、分组密码
# ## 分组密码的定义
# 将明文切割成若干等长的... | Block Ciphers.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
... | fast_download.ipynb |
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import matplotlib.pyplot as plt
wins = {60: 17, 10... | src/data-size-vs-perf/Data size vs. win rate (DODGE vs. DODGE + fuzzy sampling).ipynb |
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# # Comparing the three algorithms by Neal
# +
import... | python/comparison.ipynb |
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import numpy as np
# grAdapt
import grAdapt
fro... | examples/Adversarial Examples/2. SVM NIST Dataset (One Pixel Attack).ipynb |
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# 1. Thêm các thư viện cần thiết
import numpy as np
im... | SEGMENT AND DECTECT CHARACTER/training/CNN.ipynb |
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# ## 10. Introduction to Artificial Neural Networks wi... | chap04/textbook-chap-4-3b.ipynb |
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from grid_search_tools import GSTo... | jupyter_py/5c-Cointegration-Method-Grid-Search.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
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import os
import time
import numpy as np
im... | gerrymander53.ipynb |
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# Most examples work across multiple plotting backends equivalent, this example is also available for:
#
# * [Bokeh - radial_heatmap](../bokeh... | examples/gallery/demos/matplotlib/nyc_radial_heatmap.ipynb |
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import warnings
warnings.filterwarnings("ignore")
de... | section3/s3v3-Exploring word embeddings with Gensim.ipynb |
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# # Bus
#
# This bus has a passenger entry and exit co... | bus/bus.ipynb |
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# ## Edge detection
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# Different edge detection is a... | Edge_detection.ipynb |
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# + [markdown] id="SB26xiG-H5ZT"
# # Housing Market
#... | 05_Merge/Housing Market/Exercises_solved.ipynb |
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impo... | examples/Schurexample_henry.ipynb |
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# # chemdiab dataset example
#
# Data fom
# [locfit R ... | examples/chemdiab_example.ipynb |
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# ![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/... | tutorials/old_generation_notebooks/jupyter/3- Build your own French POS tagger.ipynb |
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# ![logo%20price%20my%20home%20con%20margen.jpg](attac... | PARTE 1.2. Web Scraping gilmar.ipynb |
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# # Diversas fuentes de datos
#
# ![rdb](https://cdn.p... | Semana4/Clase8_DiversasFuentesDatos.ipynb |
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# # Plot value for a partially observable system
from... | src/plot2.ipynb |
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# # Overlay Tutorial
#
# This notebook gives an overvi... | docs/source/overlay_design_methodology/overlay_tutorial.ipynb |
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# #... | README.ipynb |
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... | cn/.ipynb_checkpoints/sicp-1-24-checkpoint.ipynb |
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# # Neural network forward propagation
import numpy a... | NN-forward_propagation.ipynb |
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# <font size="+5">#02. Machine Learning & ... | #03. Machine Learning & Linear Regression/03practice.ipynb |
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# <h1 align="center">TensorFlow Neural Network Lab</h1... | lab.ipynb |
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# # Advertising Prediction Notebook
# In t... | Marketing/Predicting clicks on online advertising by Facebook/notebook.ipynb |
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# # Particle filtering
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# Particle filtering is not w... | tsa/src/jupyter/python/particle.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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## comment out if running in colab
import os
os.c... | PaperSimulations/Segmentation - Generalizing Structure.ipynb |
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# # Prepocessing and data cleansing
# This Jupyt... | Preprocessing and data cleansing.ipynb |
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# # ROS Tutorial Chapter 1 Evaluation
# This notebook ... | src/ch1/ch1_eval.ipynb |
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# ## Variational Auto Encoders
#
# - Reference: Adapt... | labs/10_unsupervised_generative_models/Variational_AutoEncoders.ipynb |
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#Got Open We... | Assignment 2/API Open Weather Map.ipynb |
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# # Appendix B: Contribution/Bugs/Features... | examples/B_contrib_bug_feature.ipynb |
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# # <a id="top"></a>Intersecting grids with shapes
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#... | examples/Notebooks/flopy3_grid_intersection_demo.ipynb |
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# # Just Use Linear Regression
import numpy as np
imp... | 06Polynomial-Regression-and-Model-Generalization/07LASSO-Regression.ipynb |
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# # Semana 11
# 21/10/2021
# O exercício a seguir pretende servir... | sem10-11_Python/exercicios_pandas.ipynb |
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# ### Within repo
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from... | dsref/notebooks/.ipynb_checkpoints/Data Visualization-checkpoint.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | qiskit_advocates/meetups/09_23_19-Hassi_Norlen-Morgan_State_Uni/1_2_coin_toss_T.ipynb |
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# # Continuous Control
#
# Project #2 for the Udacity ... | 2 - Continuous Control -DDPG/Report.ipynb |
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import... | docs/notebooks/dl_classification_wbc.ipynb |
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# # Function Decorators for Accelerated Code
#
# The i... | python_notebooks/.ipynb_checkpoints/Decorator-checkpoint.ipynb |