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import pand... | notebook/Exploration resultats.ipynb |
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# # Gator hunt
#
# The Florida Fish and Wildlife Conse... | exercises/Gator hunt - working.ipynb |
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# # Creating a STAC of Landsat data
#
# In this tutori... | docs/tutorials/creating-a-landsat-stac.ipynb |
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# # Boys and girls
#
# + 1 Introduction 介绍
# + 2 Load ... | boyvsgirl/boyvsgirls2.ipynb |
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# # Week 1 - Python for beginners
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import numpy ... | edx-stochastic-data-analysis/01/python-beginner.ipynb |
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# + executionInfo={"elapsed": 3242, "status": "ok", "timestamp": 162866916079... | Experiments/HateSpeechMaskingModels/otherExperiments/tensorflow/MT - Paraphrasing.ipynb |
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# # An on-line movie recommending service using Spark ... | movie/server/notebooks/building-recommender.ipynb |
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# # 加载文本数据集
#
# `Ascend` `GPU` `CPU` `数据准备`
#
# [![... | docs/mindspore/programming_guide/source_zh_cn/load_dataset_text.ipynb |
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# # Pyforest - Import all Python Data Science Librarie... | _notebooks/2021-04-22-Pyforest.ipynb |
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# # Softmax, part 1
#
# Task: practice using the `soft... | static/fundamentals/u5n1-softmax_soln.ipynb |
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# # Optimization
#
# <NAME>
# > “If there occur some ... | notebooks/Optimization.ipynb |
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# +
from __future__ import division
import os, sys
imp... | analysis/ipynb/megsano/svg_rendering_stroke_deletion.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Notebo... | doc/mod/notebooks/test_multiregressor.ipynb |
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# # Project 6: Analyzing Stock Sentiment from Twits
# ... | project_6_sentiment_analysis_with_neural_networks.ipynb |
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# ###### Excercise: Create a program that inputs a str... | String input, display, count words starting with t, reverse third word, join with another string.ipynb |
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# + [markdown] tags=[]
# # SOP069 - Install ODBC for SQL Server
#
# ## Descri... | Big-Data-Clusters/CU9/public/content/install/sop069-install-odbc-driver-for-sql-server.ipynb |
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import pandas as pd
from apis_core.... | perspers_relations.ipynb |
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# + [markdown] id="UA1x5l3QlWqC"
# # 1.3「転移学習」で少量データの分... | 1_image_classification/1_3_transfer_learning_on_GoogleColab.ipynb |
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from os import path
import numpy as np
from enmspring ... | notebooks/.ipynb_checkpoints/vmd_beta_color_test-checkpoint.ipynb |
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# This file extracts features from the images using the C... | scripts/feature_extract.ipynb |
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# + [markdown] slideshow={"slide_type": "s... | notes/week04/Class4A/Class4A.ipynb |
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# # !pip install IPythonDisplayFireworks << how to... | try.ipynb |
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# + [markdown] id="I33uQDtyTrzn"
# <a href... | calc_sockets.ipynb |
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# # Sample Notebook for new CI template code
#
# This ... | sample-notebooks/Heat_Diffusion_Example.ipynb |
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import requests
from bs4 import BeautifulSo... | Static/requests/Testing/Webscraping_live.ipynb |
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# # Predicting global innovation index using regressio... | data_analysis/supervised/linear_regression.ipynb |
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# %matplotlib inline
import numpy as np
np.random.seed(0)
import ... | Jupyter NoteBook/6.ipynb |
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'''
Exercise 4.5. Read about spirals at http: // en. w... | ch4/ex4_5.ipynb |
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# + [markdown] id="-CeROyTeKWgH" colab_type="text"
# #Aplicación de spectral ... | notebooks/03_Spectral_clustering_graph_bilingual.ipynb |
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# ## HLCM
#
# <NAME>, UrbanSim, June 2018
#
# This ... | summer-2018-model/notebooks/.ipynb_checkpoints/HLCM-checkpoint.ipynb |
# -*- coding: utf-8 -*-
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1 + 1
1 + 1
2 + 2
1 + 1
... | Julia/julia_tutorial.ipynb |
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# #### Importing Libraries
import pandas as pd
import... | MagniX Assignment 2.ipynb |
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# # Tutorial 1 - Bank decision loan problem with crisp inputs
# I... | sphinx/tutorials/tutorial-1.ipynb |
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# #!/usr/bin/python3
import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/misc/gan_mog_mode_hopping.ipynb |
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from haven import haven_jupyter as hj
from haven i... | testing.ipynb |
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# # [Paris Saclay Center for Data Science](http://www.... | rampwf/tests/kits/titanic_no_test/titanic_no_test_starting_kit.ipynb |
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EXAMPLE_DIR = ... | examples/ChargingStation/main.ipynb |
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# ## Data Preparation
#
# The first step is to get the... | Bit-coin prediction/1 Data Preparation.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
fro... | abcd_example.ipynb |
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# # $$CatBoost\ PredictionDiff \ Feature\ Importance\ ... | catboost/tutorials/model_analysis/prediction_diff_feature_importance_tutorial.ipynb |
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import numpy as np
v = np.zeros(3)
class Animal:
... | oop2.ipynb |
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import io
import requests
import numpy as np
import pa... | part2/data_clean_integration.ipynb |
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# + [markdown] origin_pos=0
# # Data Manipulation
# :label:`sec_ndarray`
#
# In order to get anything done, we need some way to store and mani... | python/d2l-en/pytorch/chapter_preliminaries/ndarray.ipynb |
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import identification_py2 as ob
import pandas as pd
im... | Process_Modeling_py2.ipynb |
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# # <font color='blue'>Data Science Academy - Python F... | pyfund/Cap11/DSA-Python-Cap11-Machine-Learning.ipynb |
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# # Before your start:
# - Read the README.md file
# -... | module-1/Map-Reduce-Filter/your-code/main.ipynb |
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# 在上一篇筆記裡我們測試了 Model.Config 對實際儲存大小的影響，接下來... | notebooks/Test_GPT2_Model_Training.ipynb |
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# # Benchmark and Bounds Tests
#
# The purpose of this... | intermediate_notebooks/benchmarks/cuml_benchmarks_quick.ipynb |
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# # Logistic Classifier
#
# > ### Pass, Fail 를 정해야 하는 ... | lab05-Logistic Classifier.ipynb |
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# # Politician Activity on Twitter by Political Affili... | python/affiliations/twitter.ipynb |
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# + [markdown] id="sSOIl3z06Vd2" colab_type="text"
# ### Markov decision proc... | Week2_Dynamic Programming/practice_vi.ipynb |
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# # python warm-up for statistics and machine learning... | scikit_learn_ML/python_notebooks/00_python_warmup.ipynb |
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# # Fully-Connected Neural Nets
# In the pr... | assignment2/FullyConnectedNets.ipynb |
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# # patient
#
# The patinet table is a core part of the eICU-CRD ... | notebooks/patient.ipynb |
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import matplotl... | util/stick_pic.ipynb |
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from torch import nn, ... | Activity03/Activity03.GPU.ipynb |
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# В этом блокноте я запускаю все эксперименты по сжати... | experiments/compressions.ipynb |
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from ctapipe import utils
from matplotlib import pyplo... | notebooks/read_LST1_data.ipynb |
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# # Assignment 4b: Converting XML to CSV
#
# ### Due: ... | Assignments/ASSIGNMENT-4b.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Data/model inputs/Copy_of_whatif_model.ipynb |
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# name: python388jvsc74a57bd0173f2ffbce537830dc37cc01123f1dcc... | comparison/Qiskit/LinearProgramming/QAOA/Example/three_var_problem/Example_Circuit_Transpiled_Manhattan.ipynb |
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# ### Principal Component Regre... | Notebooks/Chapter 03 - Linear Methods for Regression/3.5.1 Principal Components Regression.ipynb |
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import numpy as np
import os
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from __future__ import absolute_import
from __futu... | src/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# ## Create Table
# Source: https://stackoverflow.com/... | notebooks/my_notebook.ipynb |
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import pandas as pd
# %matplotlib inline
# -
# L... | 06-potholes.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# # Proble... | problems/0062/solution.ipynb |
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# Add Matplotlib inline magic command
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# %matplotlib inline
#
# # Spine Placement Demo
#
#
#... | matplotlib/gallery_jupyter/ticks_and_spines/spine_placement_demo.ipynb |
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# + [markdown] cellId="io6jozpdhcggy2u... | yc-fastai-test.ipynb |
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from logicqubit.logic import *
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def qft(qr):
... | qft 4q.ipynb |
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# # Redundancy and KDE/PG-means
#
# Is the redundancy ... | notebooks/38_redundancy.ipynb |
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# + [markdown] nbsphinx="hidden"
# This notebook is pa... | doc/executing-notebooks.ipynb |
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# # PhD Bot - Reading documents
# requirements.t... | notebook/Reading.ipynb |
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import os
import numpy as np
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import suspect
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# # Taller lentejas
# ### <NAME> - <NAME> - <NAME>
im... | exercises/Taller Lentejas.ipynb |
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# <table>
# <tr><td>
# <a href="https://n... | Code_Structure.ipynb |
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# ### Summary: Python Script
# ### Last Modified: 11/... | Lodestone Interview Case Study Project/Case Study Grill Test in Python.ipynb |
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# # Running Sum and First Difference Algorithms
# ###... | 06_Convolution/Student/02_Running_Sum_and_First_Difference/.ipynb_checkpoints/Running_Sum_First_Difference_Student-checkpoint.ipynb |
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# Import most generic modules
import importlib
import pathlib... | gamestonk_terminal/jupyter/reports/econ_data.ipynb |
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# # 选择
# ## 布尔类型、数值和表达式
# 
# - 注意：... | 7.18.ipynb |
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def reward(params):
"""
Available option:
... | TrainingDemo.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + [markdown] id="iFXsrSxJlzCW"
# #Introduction
#
# .... | Pipeline/florian_mies_assignment4/Assignment_4_Language_model.ipynb |
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# + [markdown] origin_pos=0
# # 层和块
# :label:`sec_model_construction`
#
# 之前首次介绍神经网络时，我们关注的是具有单一输出的线性模型。
# 在这里，整个模型只有一个输出。
# 注意，单个神经网络
# （1）接受... | submodules/resource/d2l-zh/mxnet/chapter_deep-learning-computation/model-construction.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
# ## Deep L... | Traffic_Sign_Classifier.ipynb |
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# ## MIDI util functions
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import rtmidi
from time ... | midi.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Dtype
# ## Data Type Object
# Let's look into how ... | module01/lesson08_momentum_trading/05_dtype/dtype.ipynb |
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import cv2
img = cv2.imread('data/src/lena.jpg')
prin... | notebook/opencv_flip.ipynb |
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# Any learning algorithm will always have strengths an... | 09_Discrete_Optimization_and_Ensemble_Learning-forest.ipynb |
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# # 📃 Solution for Exercise 01
#
# The goal is to wri... | notebooks/parameter_tuning_sol_02.ipynb |
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# + [markdown] id="CebbOFtOMv6X"
# 
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# # How do I make my custom QRenderer
#
# ... | tutorials/3 Renderers/3.4 How do I make my custom QRenderer.ipynb |
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