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# + [markdown] slideshow={"slide_type": "slide"}
# <h1... | ai2/lectures/AI2_10_agents.ipynb |
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from... | code/make_networks/.ipynb_checkpoints/Pathway Commons Processing-checkpoint.ipynb |
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# # Training left vs. right classifier
#
# This notebo... | scripts/training_left_right_classifier.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | experiments/2_a_synthetic_exp.ipynb |
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#本章需导入的模块
import numpy as np
import matplotlib.pyplot ... | chapter8-6.ipynb |
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# # Let's Have a **BeautifulSoup**
# *<NAME>*
#
# In t... | Section 4/BeautifulSoup.ipynb |
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import os
import string
import pandas as pd
import... | title_classification/itemid_classification.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="G6PyCLDpfOyA" execution... | Main.ipynb |
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#finds the probability of measuring a state |𝜓⟩ ... | Born Rule.ipynb |
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import tensorflow as tf
from tensorflow import keras
i... | Deep Learning - Neural Network - TensorFlow handwritten digits classifier .ipynb |
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import matplotlib
matplotlib.use('agg')
import cPickle... | ipy_test/CHANNELTEST/Untitled.ipynb |
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import pandas as pd
import numpy as np
from IPython.co... | metabric/src/comparing_gsea_and_wall.ipynb |
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# <img src="../../images/qiskit-heading.gif" alt="Note... | qiskit/terra/operators_overview.ipynb |
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from sklearn.datasets import load_iris
#读取iris数据... | Chapter_5/Section_5.2.1.5.ipynb |
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import tensorflow as tf
from tensorflow import ker... | chapter14/tf_implementation_of_convolution.ipynb |
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# # Regular expressions
#
# ## Lab 03
#
# ### February... | course_material/03_Object_oriented_programming/03_Regular_Expressions.ipynb |
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# # Heart Disease Prediction
#
# In this machine learn... | Heart Disease Prediction.ipynb |
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# # Linear Discriminant
#
# Like the Naive Bayes noteb... | src/LinearDiscriminant.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Re6r5-Tzmuyw" outputId=... | text_mining.ipynb |
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# # TensorFlow2 教程-卷积变分自编码器
#
# 本教程通过构建卷积变分自编码器生成手写数字... | jwolf-AI/tensorflow2_tutorials_chinese-master/024-AutoEncoder/cnn_vae.ipynb |
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"""
KD-tree implementation on Michigan Data
"""
import... | Final Implementation/KD-trees/Custom implementation/KDTree-Michigan.ipynb |
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from pysec import xbrl
from xbrl import XBRLParser, G... | CS696/Data/unstructuredDataExtraction/.ipynb_checkpoints/text_data_parse_sec-checkpoint.ipynb |
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# # Introduction to TensorFlow
#
# Welcome to this wee... | C02W03/Tensorflow_introduction.ipynb |
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import matplotlib.pyplot as pl... | discrepancy_effort.ipynb |
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# # Übungsblatt 1: Fehlerrechnung
#
# * [Aufgabe 1](#... | assignments/1.ipynb |
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# BloomTech Data Science
#
# *Unit 2, Sprint 1, Module... | module1-regression-1/LS_DS_211_assignment.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = ''... | session/true-case/true-case-small.ipynb |
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# # Working with Compute Targets
#... | 05B - Working with Compute Targets.ipynb |
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# # Pre-calculate the adjacency matrix and the Protein... | Saving DB5 into loadable format.ipynb |
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# ![BERT](https://miro.medium.com/max/2960/0*63_xsVQp0... | 8_Natural_Language_Processing/Application of NLP/sentiment-analysis-using-bert.ipynb |
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# import required libraries
import sys
sys.path.in... | notebook/CovidFAQ/09.Evaluation.ipynb |
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# ### About:
# 5/11/2021 Program calculate the correla... | correlation/Correlation Analysis - Environmental Descriptors/Corr - Age Pop/Correlation-2013.ipynb |
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# layout: post
# author: csiu
# date: 2017-03-02... | misc/2017-03-02-day06.ipynb |
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# See results_notebook.py for a more complicated analysis example (used to r... | notebooks/Nov5Example_notebook.ipynb |
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# # **Data Processing for the Airbnb Berlin Dataset fr... | Data Analysis.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | ml_class/HW#7-_Restaurant_Recommender.ipynb |
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# # Algorithmic Trading Basics
#
# <img align="left" w... | trading-algorithms/notebooks/algorithmic-trading-basic-strategies.ipynb |
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import tensorflow as tf
import numpy as np
import ... | .ipynb_checkpoints/Logistic-Regression-checkpoint.ipynb |
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import numpy as np
import scipy as sc
import pand... | notebook/checagem de sanindade.ipynb |
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# + id="5QGOnWkVRR1P" colab_type="code" colab={"base_uri": "https://localhost... | work history/NYC_Property_updated.ipynb |
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# %load_ext autoreload
# %autoreload 2
import numpy as... | county_quickstart.ipynb |
// -*- coding: utf-8 -*-
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// + [mark... | 180726_calculate/calculate.ipynb |
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# default_exp inference
# -
# # Infer... | nbs/052a_inference.ipynb |
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# + [markdown] deletable=true editable=true
# Higher O... | P04-HigherOrderMethods.ipynb |
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# # CHEM 1000 - Spring 2022
# <NAME>, University of ... | recitation/06-optimizations.ipynb |
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# # How to use GPU
import torch
import torch.nn as nn... | 05-linear_layer/05-05-use_gpu.ipynb |
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# # Exercices sur les dictionnaires
# [Aide en vidéo ... | 00_bases_python/13_exercices_dict.ipynb |
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# + [markdown] colab_type="text" id="bOChJSNXtC9g"
# #... | jdbakker42.ipynb |
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# + [markdown] id="inOFqYL_O_4y" colab_type="text"
# ## CIFAR10 - zbiór danyc... | Data_Workshop_Challenges/Week_Two/challenge_day4.ipynb |
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# + [markdown] _cell_guid="ce8ccc67-32d3-482b-ad92-561... | headlines_generator.ipynb |
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# TODO: replace all str_tokens_sw with raw_news
impo... | VADER_Sentiment_Analysis-Punctuation.ipynb |
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# # Make the master table
# +
import os
import sys
import... | scripts/loop_analysis/Annotate_Coloc_SNPs_with_Nearby_Genes_Loops.BashGO.py.ipynb |
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# # Answers: The Basics
#
# Provided here are answers ... | _build/jupyter_execute/content/0X-answers/02-answers.ipynb |
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# # Drawing samples
# ### Curvilinea... | .ipynb_checkpoints/Drawing samples-checkpoint.ipynb |
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# # Build the parent sample of large (LSLGA) galaxies.... | doc/build-lslga-parent.ipynb |
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from pandas.plotting import register_matplotlib_conver... | statsmodels_arima_evaluation.ipynb |
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class Node :
def __init__(self, item) :
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# # Calculate 3d correlation function
#
# In this exam... | examples/Correlation_3d.ipynb |
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# <div class="alert alert-success" data-title=""... | code/Day03/Day03_03 linear regression_boston house price.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Present Value, Future Value, and Interest Rates
#... | docs/_sources/content/09-finance/value-interest.ipynb |
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#importing required libraries
import rasterio
from ras... | GEO468E_nbr_v2.ipynb |
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# # King County Dataset Linear Regression Model 8
... | Model_Attempts/Eighth_Try_Model.ipynb |
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# # モデルの不公平性を検出して軽減する
#
# 機械学習モデルに... | 15 - Detect Unfairness.ipynb |
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# %matplotlib inline
from pylab import *
import cv2
r... | Demo.ipynb |
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# ## Saving and loading the data in .npz format
# The ... | Day_1_Scientific_Python/numpys/savez.ipynb |
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# + [markdown] tags=[]
# # Assess jawiki a... | notebooks/1.03-sfb-assess-jawiki-and-time-dependency.ipynb |
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# # AWS Lambda event['body'] Inspection
# I was gettin... | jupyter_lab/event_body_dev.ipynb |
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from imageai.Detection import ObjectDetection
impo... | Object Detect.ipynb |
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import warnings
warnings.filterwarnings('ignore')
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# # Traffic Sign Classification with ... | labs/keras/traffic-sign-classification-with-keras.ipynb |
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video_files=glob.glob("input_video/*.mp4")... | combined.ipynb |
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gapminder = pd.read_csv('../data/... | 02-lesson/07-groupby.ipynb |
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# ##### Copyright 2020 The TensorFlow Author... | docs/examples/dcn.ipynb |
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# <p style="border: 1px solid #e7692c; border-l... | Chapter02/ch2_nb1_mnist_keras.ipynb |
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# + [markdown] id="RGjTwSdybsSv" colab_type="text"
# # 1.1 Intro
# + id="87y... | courses/01_Intro/1.1_Intro.ipynb |
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# Concurrent programming with Gevent-
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#PID VALUES FOR GRAPH
kP = 1.5
kI = 0.005
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# + _cell_guid="e8fac08a-e5a2-4937-976d-04642c77e5f9" ... | .ipynb_checkpoints/fine-tune-douban-w2v-kaggle-checkpoint.ipynb |
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# Can not start with number... | Variable.ipynb |
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# ## Data Processing
#
# #### The fir... | notes-assignments/Week-5/openSAP_ml2_Week_05/week_5_unit_4_data_processing.ipynb |
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# Imports
from biocrnpyler import *
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# # 更多关于线性回归模型的讨论
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# # Now You Code In-Class: Boxes Of Flooring
#
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# <dt>Title</dt> <dd> Polygons Element</d... | examples/reference/elements/bokeh/Polygons.ipynb |