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# %load_ext watermark
# %watermark -p torc... | pytorch-lightning_ipynb/cnn/cnn-lenet5-mnist.ipynb |
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# # Optim... | udacity-project-H.ipynb |
# -*- coding: utf-8 -*-
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# # <span style="color:#2c... | notebooks/tut2_data_analysis.ipynb |
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# + application/vnd.databricks.v1+cell={"inputWidgets": {}, "nuid": "5ed5998c-b97e-4c07-b6bd-6ca23563c552", "showTitle": false, "title": ""}
#... | Test_folder/LinearReg_RandomForest.ipynb |
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# # Notebook 1 - Warm-up Exercises
#
# In this noteboo... | python-data-1-warmup.ipynb |
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# ## University of Washington: Machine Lea... | lectures/Lecture3-regression-regularize.ipynb |
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import networkx as nx
import pandas as pd
import p... | notebook.ipynb |
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f=open('input.txt') #not with read because thats probably the whole file
... | advent_of_code_2019/day 01 fuel calculation/solution.ipynb |
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# # Python code for accessing data via the OOI M2M int... | .ipynb_checkpoints/OOI_M2M_CTD_Downloader-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Tabledetection_and_extract_as_a_text.ipynb |
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# ## 使用 CNN 训练 fashion_mnist 数据集
#
# 上一节只要是介绍了 CNN 的... | 11. Fashion MNIST.ipynb |
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# + [markdown] id="KVZsKkyA9vX9"
# **Trabalho de Deep Learning**
#
#
# + [ma... | old-notebooks/movies_recommended_regression.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Insurance_regression.ipynb |
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# # Multi-tube design example (simple)
#
# Design a st... | examples/design/multi-tube-design-simple.ipynb |
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import pandas as pd
import nump... | notebooks/analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Task_1/Task_1.ipynb |
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# # Data Processing using Pyspark
#import SparkSessio... | chapter_2_Data_Processing/Data_processing_using_PySpark.ipynb |
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# hash: 9c24a3df7722ed4e58130cc28a746ee7c2329aa... | app/gesture_recognition/model_helpers/model_notebook.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | architectures/Principal Component Analysis(PCA).ipynb |
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# + [markdown] id="nxv3kUya-Wyb" colab_type="text"
# #... | python/02_numpy_pandas/05_pandas_3.ipynb |
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import pandas as pd
import numpy as np
import os
pd.s... | 03_create_simplified_dataset.ipynb |
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# ## Свойства матричных вычислений
import numpy as np... | matv.ipynb |
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# + active=""
# Texto: <EMAIL>
#
# -14 -13 -12 -11 -10... | strings/slice-de-strings.ipynb |
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# # 002_conditionals
#
# [Source](https://github.com/s... | 002_conditionals.ipynb |
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# + [markdown] colab_type="text" id="dKUm7A3EDuQV"
# #... | 00-verify.ipynb |
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# # Introduction
#
# **What?** self and __init__... | GitHub_MD_rendering/self and __init__.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Webservice_Deploy_Diagram.ipynb |
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import os
import gc
import tqdm
import json
import ray... | examples/corpus_processing/final_data/Process and Split Data.ipynb |
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# # Download something
#
# **Introduce multiple ways t... | notebook/3-2-download.ipynb |
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# <img alt="QuantRocket logo" src="https... | quant_finance_lectures/Lecture41-Integration-Cointegration-and-Stationarity.ipynb |
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import cv2
import torch
import os
import n... | real-time.ipynb |
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# # 银行卡支付欺诈检测
#
# 在此部分，我们将查看信用卡欺诈检测数据集，并构建一个二元分类模型，该模型... | Payment_Fraud_Detection/Fraud_Detection_Exercise.ipynb |
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# # Example: Web Downloads in Three... | 17. Concurrency with Futures.ipynb |
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# # TOOLS_ELA
#
# *tools_ela.py* is a command line too... | TOOLS/.ipynb_checkpoints/nbk_TOOLS_ELA-checkpoint.ipynb |
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# +
# import Google earth engine module
import ee
#fo... | folium2GEE.ipynb |
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# <a href="https://nbviewer.jupyter.org/github/CamDavi... | think/bayes.ipynb |
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# # Fields
#
# Fields allow you to define an area wher... | tutorials/colab/05_Fields.ipynb |
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"""
This notebook is to demonstrate multi-... | labs/TSR_PyTorch-main/Code/notebook_pytorch_classification_alexnetTS_v1.ipynb |
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# <center><h1> Xception Model </h1></center>
# <center... | docs/content/xception/Xception.ipynb |
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# ## Coding Practice #0210
# ### 1. Matplotlib visual... | SIC_AI_Coding_Exercises/SIC_AI_Chapter_03_Coding_Exercises/ex_0210.ipynb |
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#Entrada de dados de uma função
def f(x):
... | funcao.ipynb |
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import re
import cv2
from PIL import Image
import ... | test_face_detection_dlib_v2.ipynb |
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from database.sec import SEC
from transformer.fundamen... | Transforming SEC Data.ipynb |
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import numpy as np
import xarray as xr
import hvpl... | make-figure2.ipynb |
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import os
import pickle
import numpy as np
import ... | notebooks/.ipynb_checkpoints/Validation-checkpoint.ipynb |
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from Bio import pairwise2 as pw
from Bio import Seq
fr... | neg_0416.ipynb |
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# + [markdown] colab_type="text" id="ggpPusBoxZt8"
# #... | src/Set_6.ipynb |
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# # Global Land Temperature by Country
# * Remove inco... | 1_transform/us_land_temp.ipynb |
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# # The Newton idea for systems
#
# Let us ... | book/nonlineqn/demos/system-iter.ipynb |
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# # More Quick Lessons & Attendent Exercises
# Have 1... | Loops_continuum2.ipynb |
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# # Gathering data from the web | Mini Task
# **Auth... | Materials/Session_3/web_gathering_tasks.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | estimate_for_decision_s036.ipynb |
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import tensorflow as tf... | lstm_hotcode_embedding.ipynb |
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# + [markdown] id="EiEOVsZx7XTs" colab_type="text"
# # Exercises to Lecture 2... | intro_exercises2_solutions_2020.ipynb |
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# <div style="background:trasnparent url(machine_learn... | machine_learning.ipynb |
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# %matplotlib inline
import kornia
import torch
fr... | examples/feature_detection/extract_local_patches.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | RBMrecommend(July_19).ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab1.ipynb |
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# + id="Js4bz3WEOkLa"
# !pip install pyspark
# + [markdown] id="iWH9KSHuTj1G... | LAB08C_Machine_learning_with_spark.ipynb |
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# # Exercise 04
#
# Estimate a regression using the Ca... | exercises/04-BikesRent.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"}
# ### 67. ... | Lesson 15 - Break/Exercises.ipynb |
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# ## Bollinger Bands
# Bollinger Bands represent a ke... | Bollinger Bands-PFE.ipynb |
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# + [markdown] id="71mQEXWm964S"
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# + [markdown] cell_id="00000-a529e75f-b54c-44c7-8f3f-... | members/hako/6_hazi/course_7_initial_task.ipynb |
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import numpy as np
import pandas as pd
from sklearn.... | SMS Spam Detection.ipynb |
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# # Basic Linear Regression with neon
#
# <NAME><br>
#... | Basic Regression with neon.ipynb |
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# ## MS Bot framework
#
# * Bot framework homepage
# ... | papers/Chatbot/Developments.ipynb |
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# # Welcome to the Jupyter Notebook describing the cla... | .ipynb_checkpoints/bio_tech_topics-checkpoint.ipynb |
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# Reload when code changed:
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# #### Examples of Deep Learning
# - we will go throug... | lectures/Module 7A Deep Learning.ipynb |
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# # DeepBiome: Metagenomics
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# Aug. 30. 2020
# @ ... | examples/analysis-metagenomics.ipynb |
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# # Лаба 3
# # Метод сеток решения одномерного нес... | term5/MNA/lab3.ipynb |
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# **Chapter 12 – Distributed TensorFlow**
# _This not... | tests/practice/hml_12_distributed_tensorflow.ipynb |
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import pyevals
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# # Getting the text of Trove books from the Internet ... | Getting-Trove-books-from-Internet-Archive.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="zPVPNuewMPeV" outputId=... | CCTcifar100.ipynb |
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{
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# <NAME>
# Cognitive Systems Mathematics and Method... | Mathematics Python Exercises 1 Exercise 2.ipynb |
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# # Ethereum
# ### How to navigate Web 3.0 using Pytho... | intro_ethereum.ipynb |
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# + [markdown] id="vao8P4NB_b-0"
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# # This notebook is adapted from:
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# Hello all, I am back with another of my note... | _oldnotebooks/Introduction_to_Pandas-2.ipynb |
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# # Changelog
#
# ## Version 1
#
# * Initial code
# #... | 01_preprocessing.ipynb |
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# # Q1 & Q2)
#
# Difference between tensor and matrix ... | AISem3/HW/MTech-DS-AI-BilalHungund-D013-CW1.ipynb |
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import os
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import time
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