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/ # Intelligent Query Processing in SQL Server 2019 - Table Variabl... | SQLonOpenShift/sqlonopenshift/03_performance/iqp/03_IQP_Table_Variable.ipynb |
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From the 3 rav4 drive on June 16 2021
VU2, VU1, Jo... | .ipynb_checkpoints/I24_CAN_bus-checkpoint.ipynb |
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# # Normal(Gaussian) Distribution
# The No... | Python Library/NumPy/NumPy_Random/normal_distribution.ipynb |
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# + [markdown] colab_type="text" id="LgSzX-nVxwkV"
# H... | doc/notebooks/Tutorial - Image Classification Keras.ipynb |
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# # Frequentist Inference Case Study - Part B
# ## Le... | Frequentist Case Study/Frequentist Inference Case Study - Part B (2).ipynb |
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# # Correlação de Fase
# A correlação de fase diz que... | 2S2018/13 Correlacao de fase.ipynb |
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# # The Spectral Bias
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import torch
import torch.n... | .ipynb_checkpoints/ICML_SpectralBias-checkpoint.ipynb |
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# [![colab](https://c... | docs/tutorials/032-Combining-eemont-wxee.ipynb |
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# # Simple image denoising example using 2-dimensional... | intro_python/python_tutorials/jupyter-notebook_intro/exercises/fourier_moon_denoise-solution.ipynb |
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# <center>
# <img src="https://gitlab.com/ibm/sk... | EDA with Data Visualization.ipynb |
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import tensorflow as tf
lib_path = './als_tf.so'
als_m... | tensorflow/cumf_as_tensorflow_ops_test.ipynb |
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import xarray as xr
from glob import glob
from os impo... | Make_CCMP_zarr.ipynb |
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# + [markdown] Collapsed="false" toc-hr-collapsed=fals... | notebooks/pipeline.ipynb |
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# # Exercise 15
#
# # Fraud Detection
# ## Introducti... | exercises/E15-fraud_detection.ipynb |
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# Copyright 2019 Google LLC
#
# Licensed under the Apa... | kws_streaming/colab/check-data.ipynb |
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# + id="FSD6mGVTC4Hv" colab_type="code" colab={"base_u... | 1_2_Convolutional_Filters_Edge_Detection/6_2. Hough circles, agriculture.ipynb |
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# # Mini-project NLP Question Answering ( chat-Boot)
... | Question_answering.ipynb |
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# !pip install --quiet climetlab
# # Retrieve ERA5 da... | docs/examples/03-source-cds.ipynb |
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# # stack
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class stack:
def __init__(se... | data structure.ipynb |
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# ### HITO: On the use of Matched filter and Hypothesi... | developing/notebooks/MatchedFilterWithRegressionsUsage.ipynb |
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from cssi_cp2k.classes import SIM as sim
# read this: ... | cp2kmdpy/tests/delete/presented_to_ilja/molecule_opt.ipynb |
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# ### Network
# A network is used to prov... | notebooks/course3/DS Search and Select a Network.ipynb |
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# # Типы данных в Python (Версия для Python 3)
# ## 1... | MathematicsAndPython/materials/notebooks/1-2.TypesInPython.ipynb |
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# # Machine Learning and Topological Data Analysis
# ... | Tuto-GUDHI-representations.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | Ref/old/2019.07.22/eps_machine_stopping_g0.5.ipynb |
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# **SALES ANALYSIS**
# 1) Input:
# - ... | Sales-Data/.ipynb_checkpoints/Sales_Analysis-checkpoint.ipynb |
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# ## Sorting
#
# Vizzu provides multiple o... | docs/examples/sorting.ipynb |
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impor... | hw3/hw3.ipynb |
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# + id="viRUSYe9SK_6" colab_type="code" colab={"base_uri": "https://localhost... | OpenCV_with_Python_06.ipynb |
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# # Hierarchical Cluster... | _notebooks/ipynb_data/Hierarchical-Clustering-Iris-Dataset.ipynb |
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# name: c009-intel_distribution_of_python_3_oneapi-bet... | AI-and-Analytics/Getting-Started-Samples/Intel_Extension_For_SKLearn_GettingStarted/Intel_Extension_For_SKLearn_GettingStarted.ipynb |
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# + [markdown] _uuid="92402d90610521dc80c7b21931c83a77... | No-12-Logistic-Regression-Implementation/Logistic Regression Implementation.ipynb |
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# ## 1. Import Python libraries
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import os
import... | jupyter_notebooks/Stages B & C_Predictive Modelling & SHAP Analysis (G-rate & D-rate).ipynb |
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# # From day 10
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function knot_hash_base(lens,... | 2017/jordi/Day 14 - Disk Defragmentation.ipynb |
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from compas.datastructures import Mesh
from compas.dat... | T1/09_mesh_subdivision/191008_compas_subdivision_pyramid_attr_tetov.ipynb |
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# ## 3.5 The Influence of Network Topologes
... | Section 3/Sec-3.5-Network-influence-on-DGD.ipynb |
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# https://stackoverflow.com/questions/7853332/how-to-c... | sandbox/git_log_analysis.ipynb |
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wsb = pd.... | Sandbox/Notebooks/ExploratoryDataAnalysis/Author_Anthropology.ipynb |
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# Put these at the top of eve... | 1.1.MachineLearning/Chapter1/Task1.ipynb |
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# # Preprocessing
import numpy as np
import matplotli... | notebooks/03 - Preprocessing.ipynb |
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# This notebook was prepared by [wdonahoe](https://git... | staging/sorting_searching/group_ordered/group_ordered_challenge.ipynb |
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# %run ../Python_files/util.py
# number of... | 02_network_labels_ifac17/02_find_paths_of_a_road_network.ipynb |
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# ## Visualize The Policy Schedule of PBA
#
#
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import pandas as pd
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import matp... | google_rating_predictions.ipynb |
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# # Task 6: Prediction using Decision Tree Algorithm
... | Task-6_Exploratory-Data-Analysis--Retail/DecisionTree-Algorithm.ipynb |
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# %matplotlib inline
# ---- settings ----
import ... | samples/Human36m.ipynb |
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import tensorflo... | data_management/tfrecords/tools/inspect_tfrecords.ipynb |
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# # Deriving water balance on irrigated farms using re... | dea_materials/day2/WV_evapotranspiration.ipynb |
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# + [markdown] id="4jhzqLi1jkAu"
# Built-in Functions
#
# https://docs.python... | python_map.ipynb |
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# # Shallow regression for vector data
#
# This script... | machineLearning/02_shallows/03_regression.ipynb |
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# # Transfer Learning
# *by <NAME>*
# <img src="../ima... | Learning Computer Vision with TensorFlow/Jupyter Notebook files/Section 3/Transfer Learning (2).ipynb |
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# # Gensim word vector visualization of various word v... | Gensim word vector visualization.ipynb |
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# # [![Open In Colab](https://colab.research... | examples/ru_CLIP_tiny_onnx.ipynb |
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# # Visualization with Seaborn
# ## Seaborn Versus Ma... | #3 Data Manipulation & Visualization/Visualization/#3.2.14 - Visualization With Seaborn.ipynb |
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# + colab={} colab_type="code" id="wvGxjjeV-9Ls"
... | Facial_Expression_Training.ipynb |
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# # Music streaming services
#
# Running a Pareto-II p... | music-subscribers/music-subscribers.ipynb |
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# ## First day: list comprehensions and generators
# ... | days/16-18-listcomprehensions-generators/list-comprehensions-generators.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | ipynb/12-Ước-lượng-mạnh-hai-lần-VN.ipynb |
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# +
#Imports
# #%%capture
import sys
# If you're on C... | Archive/Waveheight_Modelling/WaveHeight_ModellingV3(Old).ipynb |
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# # Introduction to CT
#
# In this exercise sheet we w... | 03-inverse-problems/01-ct-introduction.ipynb |
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# ## 基本概念
# * 标量: 一个单独的数, 通常使用斜体小写字母表示，例如$x=1$。
#
#
# ... | DeepLearningBook/linalg.ipynb |
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# # Error Handling
#
# * [Errors and Exceptions](https... | 06_error_handling.ipynb |
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# ### Closing Generators
# We can actually close a ge... | dd_1/Part 2/Section 12 - Generator Based Coroutines/05 - Closing Generators/Closing Generators.ipynb |
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# ## 决策树的学习曲线
import numpy as np
import matplotlib.py... | Part5Improve/12-Decision-Tree/Optional-01-Learning-Curve-for-Decision-Tree/Optional-01-Learning-Curve-for-Decision-Tree.ipynb |
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# The trick for **highlighting a specific group** is t... | src/notebooks/123-highlight-a-line-in-line-plot.ipynb |
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# + pycharm={"is_executing": false}
from bertviz impor... | model_view_gpt2.ipynb |
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# # UN Regions
# **[Work in progress]**
#
# This note... | notebooks/dataprep/00k-UNRegion.ipynb |
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# #Step1. linux sh
#
# 리눅스 명령어를 통해서 현재 디렉토리를 확인합니다.
# ... | class2/.ipynb_checkpoints/CLASS2-whale_subset-checkpoint.ipynb |
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# # Visualizing Data for Classification
#
# In a previous lab you explor... | docs/post/module2/VisualizingDataForClassification.ipynb |
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import pylab as plt
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# # Mission to Mars
# #### In this assignment, you wi... | Mission_to_Mars/.ipynb_checkpoints/mission_to_mars_version4-checkpoint.ipynb |
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# %matplotlib inline
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sys.path.append("... | notebooks/edwin_defender-features.ipynb |
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# # Variables and values
#
# Elements of Data Science
... | 01_variables.ipynb |
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# + language="html"
# <link href="http://mathbook.pugetsound.edu/beta/mathbook-con... | aata/section-solvable-groups.ipynb |
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# # Introduction to Jupyter (formerly know... | notebook_intro.ipynb |
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# ## Auswertung Händigkeit nach oldfield, waterloo
# ... | scripts/analysis_pyton/questionnaires/questionnaires_handedness.ipynb |
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# + colab={"base_uri": ... | GAN/AC-BIGGAN-with-CIFAR10/notebook-archieve/acgan/acgan-mod-bigresnet.ipynb |
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import numpy as np
imp... | Ref/19.08.1400_finite_scaling/.ipynb_checkpoints/find_Z_80k_g05-checkpoint.ipynb |
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# # gym-anytrading
#
# `AnyTrading` is a collection of... | README.ipynb |
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import torch
import torch.nn.functional as ... | my_hand/203_activation.ipynb |
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from theano import tensor
# declare ... | integration-tests/examples/test_templates/deeplearning/template_theano.ipynb |
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# # TEXT MINING for BEGINNER
# - 본 자료는 텍스트 마이닝을 활용한 연구... | practice-note/01_text-mining-for-beginner_python-basic.ipynb |
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# # Performing Database-style Operations on Dataframes... | ch_04/1-querying_and_merging.ipynb |
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# # Fitting impedance spectra
# ## 1. Import and init... | docs/source/examples/fitting_example.ipynb |
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# # 1. Interactive Gershgorin Theorem Plot... | 2020-04-06_Gershgorin-interactive_01.ipynb |
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# # JSON examples and exercise
# ****
# + get familiar... | Week_1/DATA_WRANGLING/WORKING_WITH_DATA_IN_FILES/data_wrangling_json/.ipynb_checkpoints/sliderule_dsi_json_exercise (copy)-checkpoint.ipynb |
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from datetime import datetime
import numpy as np
... | predictors/sequence/text/AsyncTest.ipynb |
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# + id="mvlw9p3tPJjr" colab_type="code" outputId="2a4a8f52-315e-42b3-9d49-e9c... | 1-1.NNLM/NNLM_Torch.ipynb |
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from sklearn.datasets import ... | 机器学习/算法/.ipynb_checkpoints/1.1模型-决策树-分类树-checkpoint.ipynb |
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#
# Tutorial 0: Preparing your d... | docs/python_doc/auto_examples/plot_tutorial0.ipynb |
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# %matplotlib inline
import os
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impo... | complete model.ipynb |
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# + [markdown] _cell_guid="d47f823d-475e-7cae-5bc0-5e2... | downloaded_kernels/house_sales/kernel_42.ipynb |
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# # Autoname
#
# Problem:
#
# 1. In GDS different cell... | notebooks/03_autoname.ipynb |
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# # Analyzing Tabular Data using Python and Pandas
#
#... | Data Analysis/python-pandas-data-analysis.ipynb |