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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Mundo02/Desafio038.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # I... | presentation/presentation.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Copy_of_Disco_Diffusion_v4_1_[w_Video_Inits,_Recovery_&_DDIM_Sharpen].ipynb |
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import os
import time
import csv
import numpy as n... | fastdepth.ipynb |
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# This notebook is ... | MLApproach/analyser.ipynb |
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# # How heterogeneously is the pandemic hitting the US... | jupyter/social_distancing_by_state.ipynb |
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# ## Conditionals Exercises
# +
number = int(input("E... | conditionals_exercises.ipynb |
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# + id="NidqB07kxzgW"
from fastai.vision.all import *
... | yoga_pose_class.ipynb |
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# name: python37464bitbaseconda799c418b928447f... | notebooks/application1_prognosis_of_TBI.ipynb |
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# # Eigenvectors and Eigenvalues
import numpy as n... | code/eigenvalues_eigenvectors.ipynb |
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import pandas as pd
import numpy as np
s = pd.Series(... | classwork/05_03_2021/05_03_2021.ipynb |
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# # Assignment 1: Auto Correct
#
# Welcome to the firs... | Natural Language Processing Specialization/autocorrect_and_minimum_edit_distance/.ipynb_checkpoints/C2_W1_Assignment-checkpoint.ipynb |
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# ### The Data Analysis Framework
#
# 1. Look at the i... | Section-1-Introduction-to-the-course/Data_Analysis_Framework_in_action.ipynb |
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# import numpy as np
import os
import datetime
# impor... | feature_extraction_deep_learning/notebooks/rough/Untitled.ipynb |
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# Support Vector Machine (SVM)
# Importing the lib... | Sklearn/SVR & SVC/.ipynb_checkpoints/SVC 2.5.4-checkpoint.ipynb |
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import siibra
siibra.logger.setLevel('INFO')
# # Assi... | examples/Probabilistic_assignment.ipynb |
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# # Setup
#
# This script isolates coastal profiles fr... | data_processing/1_WOD_Coastal/0_make_coastal_mask.ipynb |
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# # Simulating a random varia... | Notebooks/randomVariableSimulation.ipynb |
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# # Task04分享 - 文字图例尽眉目
#
# 学习内容：https://github.com/dat... | backup/Task04.ipynb |
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# + [markdown] id="YKaFSjvWbuhs"
# <a hre... | input/feedback-prize-2021/add_token_prediction.ipynb |
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from fastai import * # Quick accesss to most ... | examples/tabular.ipynb |
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# + [markdown] deletable=true editable=true
# Sanity C... | doc/source/notebooks/Sanity_check.ipynb |
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# <center>Utilize the dataset that is provided to make... | colab_like.ipynb |
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# <a href="https://colab.research.go... | t81_558_class_02_3_pandas_grouping.ipynb |
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get_ipython().magic('matplotlib notebook')... | templates_notebooks/template_dmoc_srfcbflx.ipynb |
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70
30
# ## Sum(+)
70 + 30
round(3.5655... | Week - 1/Arithmetic Operations.ipynb |
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# + [... | docs/examples/01_basic_usage.ipynb |
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# #### Author: <NAME>
# # Arrays
# ## What is an Arr... | Not My Work just references/Data-Structures-using-Python-master/Arrays/Arrays.ipynb |
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# '
# name: python3612jvsc74a57bd03fec2c5a411dce07235ef28c8752b6... | notebook_demos/esml_howto_5_datasets.ipynb |
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import csv
with open('PyBank_Resources.csv') as csv_fi... | Py_bank/Resources/PyBank.ipynb |
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# ### Determining the Most Frequently Occuring Items i... | data structures & algorithms/12.ipynb |
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# # Thread
# 프로그램을 실행하면서 시간이 걸린다면 대부분 아래 두가지중 한가지의 이유... | programming/10_thread.ipynb |
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# + id="X0z2OscejN1o"
import pandas as pd
import numpy as np
import matplotli... | Visualization_using_python1.ipynb |
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# hash: 0ccd6c582c9a76e057095d94821e135... | parse_dataset_labels/parse_CMU_video.ipynb |
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versioninfo()
# # DiracNotation.jl sample
#
#
# ... | examples/example.ipynb |
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import platform
import numpy as np
import pycuda
f... | autotuner/autotuner-demo.ipynb |
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# + id="x8COawULBVgm" colab_type="code" colab={}
import random
import numpy a... | HW03/RL_HW03(1).ipynb |
# -*- coding: utf-8 -*-
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# # Weekly exercise 6: Simple N... | exercise06.ipynb |
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import argparse
import sys
import time... | .ipynb_checkpoints/Evaluation Result_10K-checkpoint.ipynb |
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# # Introduction - Using COSINE Metric
#
# In this not... | notebooks/firefox_p2/tc_br_tracing/lsi-model-cosine.ipynb |
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# + [markdown] id="9brUxyTpYZHy"
# Se importar los datos en formato .zip, y s... | Notebook/Pruebas_DP/Prueba DP1.ipynb |
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# # Analyse public Solvency 2 data of Dutch insurance ... | notebooks/Tutorial Solvency 2 data.ipynb |
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# # ODE solver
#
# In this notebook, we show some exam... | examples/notebooks/solvers/ode-solver.ipynb |
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# # Kepler's orbits
import numpy as np
import matplot... | lesson05/inClass_lesson05.ipynb |
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# + [markdown] formulas={"_eq_1": {"meanin... | notebooks/quantum-machine-learning/vqc.ipynb |
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# + [markdown] id... | ds_book/docs/Lesson4_evaluation.ipynb |
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# Welcome to the ***AMUSE binary release***. This rel... | doc/interactive_tutorial/00-Welcome.ipynb |
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# ## Dueling Deep Reinforcement Learning with Praoriti... | rl-football-dueling-dqnet.ipynb |
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# # Transfer Learning
#
# Most of the time you won't w... | transfer-learning/Transfer_Learning_Exercise.ipynb |
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# # Common Techniques and issues
#
# Note that array ... | Interview Questions/Arrays and Strings/Arrays and Strings.ipynb |
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# # Introduction
#
#
# In this notebook, we will load ... | kafka-clients/Load to Cassandra.ipynb |
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# # Functions
# Functions are like methods but are ind... | spirl/python_functions.ipynb |
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# # Single Particle Model (SPM)
# ## Model Equations... | examples/notebooks/models/SPM.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | computer_vision/MediaPipe_Face_Mesh_TFLite_Direct_Inference_Intermediate_Layer_Output.ipynb |
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# + [markdown] nbsphinx="hidden"
# # Quantization of S... | quantization/introduction.ipynb |
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# # Tutorial for loading Final Testing competition dat... | start_kits/5.FinalTestingDataGuide.ipynb |
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# # Creating a polygon from a list of points
#
# For m... | examples/Polygons_from_list_of_points.ipynb |
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# Copyright (c) 2017-2019 [Serpent-Tools developer tea... | examples/Branching.ipynb |
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# # Exercise Set 2 - Content
# #### 1. Run the follo... | 02. Managing Your Content/student_exercise/exercise_questions-answers.ipynb |
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import pandas as pd
import numpy as np
from statsmodel... | VAR model.ipynb |
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# # Predicting NBA players positions using Keras #
# ... | NBA_Keras/.ipynb_checkpoints/Predicting NBA players positions using Keras-checkpoint.ipynb |
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# <small><i>This notebook was put together by [<NAME>]... | notebooks/02.1-Machine-Learning-Intro.ipynb |
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import declus
import pygslib
# # test with arbitrary ... | sandbox/declus from gslib exe.ipynb |
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# This notebook was prepared by [<NAME>](http://donnem... | online_judges/maximizing_xor/maximizing_xor_solution.ipynb |
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# # Buidling the first model
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# import... | machine-learning-notebooks/model_rev_1.ipynb |
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#After predicting disordered residues with iupred,... | Drosophila Proteome Percent Content Controlled Violin Plots.ipynb |
# -*- coding: utf-8 -*-
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# # Machine Learning - Formação Cientista de dad... | Notebooks/ML_Regras_Associacao.ipynb |
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a =
if a>= 21:
print ("vote and poker")
eli... | 01_Workshop-master/Chapter01/Activity03/Untitled1.ipynb |
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# # Computer Vision, Lab 01: OpenCV and Octave
#
# Tod... | Labs/01-Install-OpenCV/01-Install-OpenCV.ipynb |
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import brfss
import thinkplot
from thinkbayes2 import ... | code/0ABC.ipynb |
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import keras
keras.__version__
# # 이미지 생성
#
# 이 노트북은 ... | 8.4-generating-images-with-vaes.ipynb |
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# + [markdown] id="UnTZE3HF8f05"
# # 13장. 나이브 베... | 13. NaiveBayes_Homework_Student.ipynb |
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// # CS1 Review: Basic concepts & C++ fundame... | CS1-Review.ipynb |
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import numpy as np
import pandas as pd
import matplotl... | Groupby, Pivot table and crosstab.ipynb |
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import pandas as pd
import ccxt
import datetime
from b... | .ipynb_checkpoints/Backtest.py-checkpoint.ipynb |
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# [
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import logging
import sys
import os
... | examples/demo.ipynb |
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# ## **Task-2: Supervised Machine Learning with Python... | Task_2.ipynb |
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# # CORN MLP for predicting cement strengt... | docs/tutorials/pure_pytorch/CORN_cement.ipynb |
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# ___
#
# <a href='http://www.pieriandata.com'> <img s... | NLP_COURSE/04-Semantics-and-Sentiment-Analysis/01-Sentiment-Analysis.ipynb |
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import cv2
import matplotlib.pyplot as plt
import matp... | image_cluster/.ipynb_checkpoints/code_ggplot_soryeong_ver01-checkpoint.ipynb |
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# ## Playing with Regression
#
# This notebook will he... | docs/notebooks/regression.ipynb |
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# ##### Algorithms implemented in Python from the book... | discrete math.ipynb |
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# + [markdown] id="zmwWs4S9cRIn"
# # ECE 570 Assignmen... | Assignment6/Assignment_06_Exercise.ipynb |
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from __future__ import print_function
import os
import... | Chapter02/Chapter_2_Augmented_Dickey_Fuller_Test.ipynb |
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# ## COVID Data
# Dependencies and Setup
import ... | COMPLETE/COVID Cases & Deaths/COVID Data.ipynb |
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# ### This Notebook shows how to use the Camera_Calibr... | examples/example_notebooks/symmertric_grid_calibration.ipynb |
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# # StarGAN [with celebA dataset]
#
# * `Unpaired Imag... | gans/stargan.ipynb |
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#
from __future__ import print_... | Our_code/Keras(not working)/older failed tests/.ipynb_checkpoints/old_train_teacher2-checkpoint.ipynb |
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# # Assignment 1: Pixel Regression.
#
# Can we recover... | Assignment 1. Pixel regression.ipynb |
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# # Setup
# +
# Python 3 compatability
from __future_... | plot_star_multi_joint.ipynb |
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# + [markdown] id="MeEN6dXxgWn5" colab_type="text"
# #... | Seq2Seq/2_Seq2Seq_Conv.ipynb |
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# # Consensus Motif Search
#
# [![Binder](... | docs/Tutorial_Consensus_Motif.ipynb |
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# # B... | notebooks/0_best_practices.ipynb |
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# # Assignment 2 | Programming Logic
#
# R... | assignments/assignment_2/assignment_2_sydneymaves.ipynb |
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# # AlphaFold Colab
#... | AlphaFold.ipynb |
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#... | faith_module1-regression-1/LS_DS_211_assignment.ipynb |