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# # 5. Live coding
# This notebook will show you how we an... | notebooks/05_live-coding_solutions.ipynb |
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# # Getting started with Spark: Spark SQL in Python
#... | demoSparkSQLPython.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Time_series_data_.ipynb |
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# %matplotlib inline
#
# # Decision Tree Regression
#... | Section 2: Elementary machine learning algorithms/decision_tree/plot_tree_regression.ipynb |
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# <a href="https://colab... | Copy_of_VQGAN+CLIP.ipynb |
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# ## Point Cloud Processing
#
# __Point Clouds__ are basici... | 03_3DModeling/00_notebooks/04_PointCloudProcessing_custom_z3d.ipynb |
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#... | V3_fastai_02_download_KDA_workshop.ipynb |
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import warnings
from tqdm import tqdm
import json
... | examples/pretrain/seg_token/d2v.ipynb |
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import pandas as pd ###variationalinference1init... | section_inference/variational_inference1.ipynb |
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# + active=""
# ### Objective :
# - understand th... | notebooks/Haberman's Survival DataSet Analysis.ipynb |
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# # Training With MLM and NSP
#
# BERT was originally trained usi... | course/training/07_mlm_and_nsp_logic.ipynb |
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# # LAD geocoding
#
# Here we geocode GtR organisations at the LAD level
# ## 0. Preamble
# %run notebook_preamble.ipy
def flatten_list(a_l... | notebooks/sc_06_lad_label.ipynb |
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# # Useful codes from notes
# ## OLS – your own code ... | useful_code/Useful_code_project1.ipynb |
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# + [markdown] papermill={"duration": 0.028648, "end_t... | time_series/04-time-series-as-features.ipynb |
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# R regression modeling exercises
# =========... | R/Rstatistics/Exercises.ipynb |
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# # Convert TensorFlow Object Detection API Models
# [... | deploy/openvino_convert_tf_object_detection-Copy1.ipynb |
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# # extra class( 16/7/19)
# # Day 21
import pandas... | Data-Science-HYD-2k19/Day-based/Cumulative/Day 21 - 30 (classwork).ipynb |
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# pip instal... | Attendance/facerecognition/facerecognitiontest.ipynb |
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# + id="UcXKLK68ZbAp" colab_type="code" colab={"base_uri": "https://localhost... | matrix_one/Day5.ipynb |
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# + [markdown] id="-5zceVtRCaiv" colab_type="text"
# # Assignment 1: Explorin... | homework_assignment_01.ipynb |
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#export
from data_lab.imports import *
import getpass
... | nbs/02.01.develop.treatments.ipynb |
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# # 간단한 통계 기능 소개<br>Simple introduction to statistics ... | 20_interpolation/20_statistics.ipynb |
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# + id="V1WhCjLli0ve" colab_type="code" colab={}
import numpy as np
import ma... | MexicanHat_Part2.ipynb |
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import numpy as np
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from grab... | versions/0.01/3-test_model.ipynb |
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import os
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import skimage.data as imd
d... | src/Traffic Sign recognition.ipynb |
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# # Атрибуты класса и экземпляра
#
# При объявлении кл... | python_pd/06_classes/02_attr.ipynb |
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import os
os.environ["TF_FORCE_GPU_ALLOW_GROWTH"]="tru... | experiments/anomaly_detector_modified.ipynb |
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import os
import pandas as pd
# Paths
PROJECT_DIR = "... | notebooks/06_Analyze_ESO_flags.ipynb |
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from itertools import filterfals... | notebooks/rfilecmp_experimental_benchmarking.ipynb |
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from nltk.translate.bleu_score import sentence_bleu
r... | blue_calc.ipynb |
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x=(5+2)*(12/4)
print(x)
print(11/3)
print(11//3)
... | Module 02 Exercise.ipynb |
# -*- coding: utf-8 -*-
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# %display typeset
# <p>O ... | Planilhas Sage/MM4 - Aula 5 - O Modelo de Fitzhugh-Nagumo.ipynb |
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from gaussians import PokeDescribeNAME
from model... | plt_jpgs.ipynb |
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import tensorflow as tf
import numpy as np
import ... | Monte-Carlo-Attacks/Monte-Carlo-Fashion_MNIST_CVAE/Untitled.ipynb |
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import os
os.chdir(r'C:\Users\Roli\Downloads')
import... | Basics/OnlineLearning/Python_Basics/10_Python_Basics.ipynb |
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# ### import everything
# +
import matplotlib
import ... | example/pycon-2017-tutorial-rl-master/MLP_Keras.ipynb |
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# + [markdown] colab_type="text" id="_zZCXltaL-2y"
# #... | MoreNotebooks/ModelFitting/Emcee.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | gossip_vs_propaganda_text_classification.ipynb |
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import ee
import geemap
import pandas as pd
Map = gee... | algoritmos/puntos_calor/descarga_conteoP_subc_anual.ipynb |
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# + id="jVkAVV4pixpb" executionInfo={"status": "ok", "timestamp": 16291794634... | _docs/nbs/reco-tut-mal-t1-01-data-extraction.ipynb |
# -*- coding: utf-8 -*-
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# # Superposition Kata Workbook
#
# ... | Superposition/Workbook_Superposition.ipynb |
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# # <font color='blue'>Data Science Academy - ... | python-fundamentals-data-analysis-3.0/PythonFundamentos/Cap02/Notebooks/DSA-Python-Cap02-Exercicios.ipynb |
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# Most examples work across multiple plotting backends... | examples/gallery/demos/bokeh/autompg_violins.ipynb |
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# for numbers
import xarray as xr
import numpy as ... | notebooks/ams_maps.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # M... | m01_introduccion/04_data_manipulation/04_data_manipulation.ipynb |
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# # Test Dataset Preparation
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import pickle
impor... | Test Dataset Preparation.ipynb |
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# + id="2n7Wa6k7-TFN"
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i... | P1-Simple Linear Regression/simple.ipynb |
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# ### ResNet for model prediction
# !wget https://vig... | 03_Applied_AI_DeepLearning/notebooks/week_3_4_resnet_imagenet.ipynb |
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# # Lecture 10 - Asymptotics
#
# February 12, 2019... | Lecture10_Feb12_PianoAsymptotics.ipynb |
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#
# Training GNN with Neighbor S... | L1_large_node_classification.ipynb |
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# # B... | content/_build/html/_sources/notebooks/06-Python_II.ipynb |
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# # Component FDTD simulations
#
# ## Lume... | docs/notebooks/11_sparameters.ipynb |
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# # Regional Map Method
# 
# #... | content/02/regionalmap.ipynb |
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# ## Noise-to-Aggregate-Ratio (NAR)
imp... | NAR.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# + id="b-cx3kMxVYJF" colab_type="code" colab={"base_uri": "https://localhost... | Load_Smart_Compose_Keras_model.ipynb |
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import pandas as pd
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import json
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import nlt... | Case_Study.ipynb |
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import matplotlib.pyla... | Flower_Retraining.ipynb |
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# # Production model
# [![prod_lecture.ipy... | ampl-lecture/prod_lecture.ipynb |
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# + id="dKV8MCK1Y12g"
# # !pip install datasets transformers panda... | main/qald/t5-2021-10-11/seq2seq_t5_use_online.ipynb |
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# + hide_input=true init_cell=true slideshow={"slide_t... | beginner-lessons/big-data/bigdata-2.ipynb |
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# # Assignment 4
# #### Student ID: *Double click her... | static_files/assignments/Assignment4.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/deprecated/tensorflow2pytorch_master.ipynb |
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import warnings
warnings.filterwarnings('ignore')
impo... | notebooks/federated_dl_model_averaging.ipynb |
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# + id="sS50nXMfHDK4" executionInfo={"status": "ok", "timestamp": 16178008182... | colabs/efficientnet-landmark-local.ipynb |
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# ## Kaggle Contest on *Observing Dark World*
#
# A pe... | ipynb/Kaggle-Observing-Dark-World.ipynb |
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# # Solve time dependent Schroedinger equation in 1D, ... | TDSE/TDSE.ipynb |
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import pandas as pd
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import matplot... | Codes/.ipynb_checkpoints/Sample-checkpoint.ipynb |
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# # Facies classification utilizing an Adaptive Booste... | Kr1m/Kr1m_SEG_ML_Attempt2.ipynb |
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# # VacationPy
# ----
#
# #### Note
# * Keep an eye on... | Vacation Py/VacationPy.ipynb |
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# 
... | qiskit/advanced/aqua/finance/simulation/fixed_income_pricing.ipynb |
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# + [markdown] nbsphinx="hidden" slideshow={"slide_typ... | notebooks/wradlib_in_an_hour.ipynb |
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filepath = '/Volumes/backup_1... | tbio/assign_families_in_chrj_pr.ipynb |
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# # XLNet
# !... | run_experiments_xlnet.ipynb |
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def inp(a,n) :
for i in range(0,n) :
... | LinearSearch.ipynb |
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# ## Step 0: Load The Data
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import os, sys
i... | notebooks/Traffic_Sign_Classifier.ipynb |
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from sklearn.li... | Multi-Period Asset Pricing.ipynb |
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# name: python391jvsc74a57bd05271bdc391cb7228ab6e6395e7c6cdc955f1980bb74892059d6755de2b4e... | assignment_3/assignment_3_ngocha-new.ipynb |
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# + id="RfX9oxjYML-a"
#usa chaves tambem porem nao temos pares e sim chaves
... | Conjuntos.ipynb |
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# # Evaluation
#
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# After finishing building spe dataset, next step is b... | build_database_03.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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from splinter import Browser
from bs4 import Beau... | Practice.ipynb |
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# # Testing extracting OSM data using Osmium
# +
impo... | Implementations/FY21/ACC_mapbox_traffic/testing_osmium2.ipynb |
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####### XXX
# Step 1: Sign up for a G... | python/basic_gee_example_1.ipynb |
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# # Simulation Class: Tutorial 6
#
# This notebook wil... | docs/_static/notebooks/simulate_tutorial.ipynb |
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def printme( str ):
#This is a pri... | Jupyter_Notebook/Chinenye Ajah Jupyter notebook 3rd February 2022/Untitled.ipynb |
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# + pycharm={"name": "#%%\n"}
import glob
impor... | visualizations/statistic_tests.ipynb |
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import astropy.units as u... | notebooks/NGC 5897 - Figure - photometry.ipynb |
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# **Exercise set 7**
# ==============
#
# > The goal o... | exercises_2020/07_Exercise_Set_7.ipynb |
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# # 1. 다변수 이산확률변수
# ## 1)결합확률 질량함수 Joint pmf
# ## $$P_... | 06.Math/9.1.1_2 Multiple Random Variable_Continuous&Discrete.ipynb |