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# # 第二十六讲:对称矩阵及正定性
#
# ## 对称矩阵
#
# 前面我们学习了矩阵的特征值与特征向量,... | notes-linear-algebra/chapter26.ipynb |
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# # Heat maps in general
import pandas as pd
import b... | _site/week07/inClass_week07.ipynb |
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# %run helper.ipynb
df=pd.read_csv(all_data)
data = ... | data_analysis/Analysis.ipynb |
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# # Phase 2 Review
# +
import pandas as pd
import num... | Phase_2/review/Phase_2_Review.ipynb |
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# Using Labels to Separate Classes (Supervised ... | examples/Metric Learning.ipynb |
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import os
i... | examples/PDF Render Comparator.ipynb |
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# + [markdown] id="_w7OYZzofVvQ"
# # 1. 내장함수
# + [mar... | python/practice/2-4_advanced_python.ipynb |
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# GeeksforGeeks
#---------------------------------... | GeeksForGeeks.ipynb |
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# This just ellucidates and confirms that our effnet is doing... | effnet_test.ipynb |
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import torch
from torchvision import models, datasets,... | Fine_tuned_VGG_19_CAM.ipynb |
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# # Simulating Structural Virality
# This notebook is ... | examples/structural-virality.ipynb |
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# # Chapter 24
# # Augmented Reality wi... | advance/cv-master/advance/24.ipynb |
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import pandas as pd
import numpy as np
import random #... | pandas/dataframes1.ipynb |
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# # Kinematics of particle
#
# > <NAME>
# > Laborato... | notebooks/KinematicsParticle.ipynb |
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from fastai.text import *
import numpy as np
from skle... | classification/classification_model_dc_fire.ipynb |
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# # DIEN (Deep Interest Evolution Network)
#
# Deep In... | 5.0.1 - Embeddings - Dien.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | AML/Assignemnet/Assignment_3/Assignmnet_3.ipynb |
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# # Next steps
# - Co... | notebooks/20181127-planning.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Module_1_Lab_2.ipynb |
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# # "Help Navigate Robots"
# > "Help robots recognize ... | _notebooks/2020-07-07-Robots.ipynb |
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# # Documentation
#
# **Material by <NAME>**
#
# Just ... | notebooks/11b-documentation.ipynb |
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import numpy as np
import nibabel as nib
img = nib.lo... | week2 slides/Untitled.ipynb |
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# +
# Time: O(m * n)
# Space: O(m * n)
def interleavi... | assignments/dynamic_programming/Interleaving Strings.ipynb |
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from dd_df import create_dd_df
import pandas as pd
imp... | Create_dfs.ipynb |
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# #Optimize API
# Suppose you've written an algorithm... | Quantopian Contest Resources/Optimize API.ipynb |
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# - Your script should be able to be run from the comma... | notebooks/network.ipynb |
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# # Counting features in satellite images using scikit... | samples/04_gis_analysts_data_scientists/counting_features_in_satellite_images_using_scikit_image.ipynb |
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# + genepattern={"name": "Login", "server": "https://c... | 2021_12_15_ccmi_single_cell_analysis_workshop/2. Getting data into GenePattern/.ipynb_checkpoints/2021-12-15 Getting Data Into GenePattern-checkpoint.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Detail... | examples/_notebooks/detail.ipynb |
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# # Single Sample Gene Set Enrichment Analysis (ssGSEA... | docs/source/notebooks/recipes/ssGSEA_with_PCA.ipynb |
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import numpy as np
import pandas ... | multinomialNB.ipynb |
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# # Vacation Analysis
#
# +
# Dependencies and Setup
... | VacationPy/VacationPy.ipynb |
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#import argparse
import datetime
im... | src/.ipynb_checkpoints/explore_vade-checkpoint.ipynb |
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# + id="Trrt91sUH_JN" colab_type="code" outputId="aa9dde58-aa99-4f56-ad1e-66e... | Celebrity Gender Classifier/celeb_completed.ipynb |
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# (2.4.1)=
# # 2.4.1 Data Acquision BDTNS
#
# Goal of ... | _build/jupyter_execute/2_4_Data_Acquisition_BDTNS/2_4_1_Data_Acquisition_BDTNS.ipynb |
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# Citing <cite data-cite="batpol"></cite> and <cite data-cite="2938... | Sample.ipynb |
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from rdkit.Chem import PandasTools
from flamingo.utils... | notebooks/Filter_visualization.ipynb |
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import os
import matplotlib.pyplot... | notebooks/boston_housing.ipynb |
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# # Introduction to Derivatives
# ## Motion and its p... | 01. Introduction to Derivatives.ipynb |
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from numpy import *
import numpy as np
import matplotl... | demo_for_error_dist.ipynb |
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# # Advanced simulation
# In essence, a Model object ... | docs/Advanced simulation.ipynb |
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import ast... | make_luvoir_telap.ipynb |
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# + [markdown] id="c7ckYLzk1qXx"
# # Workshop 3 - Pytorch Model Creation
# De... | Workshops/Workshop 3 - Pytorch Models/Workshop_3.ipynb |
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# # Quitar Overfit a Decision Tree
# La implementació... | code/notebooks/python/.ipynb_checkpoints/Quitando Overfit a DT-checkpoint.ipynb |
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# !which python
import re
import json
import ... | 12-AlignedReviewDataset_ta.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Time_Series_Forecasting_with_DNN.ipynb |
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# # Which Star Wars Character Are You?
#
#
# +
import... | game.ipynb |
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# # WAKY plotting
# +
# -- Dependencies --
import sy... | Figure1-Osc.ipynb |
# -*- coding: utf-8 -*-
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# ## sigmoid on GPU
funct... | Experimental/Activations on GPU.ipynb |
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# + [markdown] colab_type="text" id="2Ev4yd8L7VLI"
# #... | Ex2 - Centrol-hole tension/CH_tension_PDE.ipynb |
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# # JPK archive
#
#
# JPK files are zipped archives of... | notes_on_jpk_archives/notes_on_jpk.ipynb |
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# + [markdown] id="xLOXFOT5Q40E"
# ##### Copyright 2020 The TensorFlow Author... | site/en-snapshot/quantum/tutorials/mnist.ipynb |
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# + [markdown] id="x4G3Y3r4bgaG" colab_type="text"
# # isdecimal()
# + [mark... | karakterDiziMetod/isdecimal.ipynb |
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# # Challenge Set 1: MTA Turnstile Data
from __futur... | Project1.ipynb |
# -*- coding: utf-8 -*-
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# helper
func... | Chp08/ZZZ/makie.ipynb |
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# # Creating training datasets for SEIR(D) modeling
#... | data/data_processing.ipynb |
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### Image acquisition: 210508
### 1. Import packag... | THz_2D_acquisition.ipynb |
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# # String Formatting
# * The oldest method involves p... | programming/python/pythonFundamentals/string manipulation.ipynb |
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# # Writing meshkernel meshes to ugrid file
#
# This i... | docs/examples/05_working_with_meshkernel.ipynb |
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# # Monitoring NLP pipelines
#
# Rubrix cu... | docs/guides/monitoring.ipynb |
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# + [markdown] colab_type="text" id="NKas2cYws8F6"
# #... | examples/frameworks/matplotlib/jupyter_matplotlib_example.ipynb |
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# <a href="https://colab... | Deloitte/competetion_01/Bitcoin_clean.ipynb |
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# ## Ensure you have the watson-machine-learning-cli... | examples/shopping_cart_kmeans_cluster.ipynb |
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from requests import get
from requests.exceptions impo... | .ipynb_checkpoints/WebscrappingVsIndex-checkpoint.ipynb |
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with open("../Reference/CommandSystems.txt", "r") as f... | DevelopmentNotebooks/ds1000de-Copy5.ipynb |
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import gzip
f=gzip.open('../../a1-data/AP/... | a1/indexing.ipynb |
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import numpy as np
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import json... | scripts/readJsonlFiles-extractingData.ipynb |
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# # Julia on EMR
#
# First, let's install the [Ell... | emr/julia/julia-elly.ipynb |
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# ### Structure Analysis
#
# This notebook aim to stud... | deprecated/notebooks/General_RDKit_Tasks_by_Ice-Copy1.ipynb |
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-- # 3. Types and classes
-- ## 3.1 Basi... | 03 Types and classes.ipynb |
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# default_exp fb_scraper
# -
# # fb_... | 01_fb_scraper.ipynb |
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import pandas as pd
import plotnine as p9
import math
... | shop-benefit.ipynb |
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import pandas as pd
import numpy as np
from pa... | l6/Lecture 33 - Reshaping.ipynb |
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import wandb
wandb.init(project='Vae-test')
import ma... | notebooks/wandb/run-20200201_143203-fv2awx78/code/notebooks/7.2-EXE-variational-autoencoder.ipynb |
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# # Experimenting with Convolutional Neural Network wi... | mnist cnn.ipynb |
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import numpy as np # type: ignore
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# ## Data Science Model Evaluation Sample
# ### Part ... | eda_model_eval_notebook.ipynb |
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# Copyright (c) Microsoft Corporation. All rights r... | how-to-use-azureml/ml-frameworks/tensorflow/distributed-tensorflow-with-parameter-server/distributed-tensorflow-with-parameter-server.ipynb |
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# ## Survival times
#
# We denote the vector of survival times `survtime... | 14_ReliabilityDataAnalysis/14_02_SomeBasicConcepts/14_02_02_SurvivalTimes.ipynb |
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# # Kaggle - WiDS Datathon 2022
#
# ## Modelo Nº6
#
# ... | notebooks/modelos/modelo_6/modelo_6.ipynb |
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# # Inject Mocks as Dependencies
# ## You wrote some ... | Mock Injection.ipynb |
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# <center><h1><b><span style="color:blue">Histogrammin... | 02-histogramming-visualisation.ipynb |
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#%% Import libs
import math
import numpy a... | sonstiges/DSP_Python_Matlab/25.10 Exercise.ipynb |
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# # I'm just gonna see if I can write a quick and dirt... | lesson08/Optional_newKepler_datasets.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# import rospy
import numpy as np
imp... | Intent-Classification.ipynb |
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# ## Import packages
import numpy as np
import pandas... | Linear_regression_using_estimators.ipynb |
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# + [markdown] toc=true
# <h1>Table of Con... | code/history_backup/preprocessing_v1-Copy1.ipynb |
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# ### Booleans: Truth Values
# All objects in Python ... | python-tuts/0-beginner/3-Numeric-Types/15 - Booleans - Truth Values.ipynb |
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# # Grab Pubmed Abstracts
# ## Functions
from Bio im... | notebooks/nlp/bert-pubmed.ipynb |
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fro... | ihme/COVID-Model.ipynb |
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# # 69 Largest product that may be obtained by multipl... | #69 Largest product of three integers.ipynb |
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"""
The MIT License (MIT)
Copyright (c) 2021 NVI... | tf_framework/c17e1_autoencoder.ipynb |
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# %load_ext autoreloa... | week_1/transformations.ipynb |
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# # 协程
# > 如果 Python 书籍有一定的指导作用,那么(协程就是)文档最匮乏、最鲜为人知的 P... | 16-coroutine.ipynb |
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# Library Imports
# For Basic Computation
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# ## mimlsvm
#
# mi = mu... | social-tags/notebooks/movielens-imdb/mimlsvm-pystruct.ipynb |
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# Max z= 20x1 + 12x2 +40x3 + 25x4 ............. | P6-Resource Allocation Problem By Simplex Method.ipynb |