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# # BFS
# <!-- - <span style= "orange">
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# </span> --... | CODING/Graph.ipynb |
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import theano
import theano.tensor as T
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# # Traffic Sign Classification with Keras
#
#... | Lesson 1 - Deep Learning and Computer Vision/CarND-KerasLab/traffic-sign-classification-with-keras-solution.ipynb |
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# # Basics of NLP
# ## Topics covered:
# 1. Tokenizati... | Natural Language Procressing/1 Basics of NLP.ipynb |
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import numpy as np
import sys
if "../" not in sys.path... | RL/chapter5MC/Blackjack Playground.ipynb |
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# %matplotlib notebook
import numpy a... | notebooks/MurmanColeMethod.ipynb |
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# <h2>Scipy</h2>
# This notebook shows the most import... | python_module_tutorials/Scipy.ipynb |
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# Copyright (c) Microso... | eval/eval_building_level.ipynb |
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# IPython.OutputArea.prototy... | msfr/plots/MSFR_reprocessing_depletion_SCALE.ipynb |
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# # 使用卷积神经网络进行图像分类
#
# **作者:** [PaddlePaddle]... | docs/practices/cv/convnet_image_classification.ipynb |
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# # Facets
import pandas as pd
import altair as alt
... | notebooks/03-Facets.ipynb |
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import os
import pandas as pd
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# +
... | analysis/notebook/initial_model_logistic_regression/logistic_regression_notebook.ipynb |
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# # Prediction of time required for quality inspection... | mercedes data.ipynb |
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import matplotlib.pyplot as plt
c... | CrimeCategoryFrequency.ipynb |
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# + active=""
# Modelo de pronóstico para la pierna co... | LSTM_Verdillo_Multi.ipynb |
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import os
import csv
# Dependencies and Setup
imp... | terrorism-90.ipynb |
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# %matplotlib inline
#
# PyTorch: nn
# -----------
#
... | Deep_Learning/PyTorch/Neural_nets/two_layer_net_nn.ipynb |
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# # Statistical concepts
#
# ## Holding period rates o... | Session002_Preliminaries.ipynb |
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from brain import models
robot_info = ... | server/volumes/notebooks/sandbox.ipynb |
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# Importing the libraries
import numpy as np
impo... | Deep Learning using Tensorflow Keras/Churn-Model-using-ANN/ANN - Churn Modelling.ipynb |
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import math
import json
import random
from os import p... | antigenic_evolution/site_mutation_rank.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Topic_Modeling.ipynb |
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# # Instructions
#
# You work as a Data Analyst for a ... | the_android_app_market_on_google_play/project_instructions_unguided.ipynb |
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# __Вопросы для повторения:__
# * зачем нужны исключен... | 2019/sem1/lecture8_smart_pointers/repetition.ipynb |
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import matplotl... | star_wars/star_wars.ipynb |
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# ## This Notebook contains:
# - Reading the datset fr... | Final Project _ Graduate Admission Predictor/Code/Modelling/UniversitySupportVectorMachine.ipynb |
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# # BioSentVec Tutorial
# This tutorial p... | src/notebooks/BioSentVec_tutorial.ipynb |
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# # maps.ipynb
#
# Display interactive maps of the mos... | maps.ipynb |
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import tensorflow as tf
import tensorflow_probability a... | Keras_sample_weight_1.ipynb |
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# # Day 13: An Example of Markov Chain Mon... | in_class_exercises/day12MCMC-Example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/quique-exploration.ipynb |
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# # Recommender System with Python
# ## Overview
# w... | Recommander_Systems_Project.ipynb |
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# Q1 of Assignment # 3
# Make a calculator using P... | PY02303 , Muhammad Huzefa , Assignment # 3.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
inp... | WorkInProgress3.ipynb |
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# - - - -
# # Mechpy
# a mechanical engineer's toolbox... | mechpy.ipynb |
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# ## Define the Convolutio... | P1_Facial_Keypoints/2. Define the Network Architecture.ipynb |
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# + active=""
# TreeNode{val: 1, left: None, right: ... | Tree/1224/99. Recover Binary Search Tree.ipynb |
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# + [markdown] id="ZrF1N_UoWCek"
# ### Nueral Machine Translation `(NMT)` wit... | 14_NLP/01_Neural_Machine_Translation/10_NMT_Transformers.ipynb |
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# # 그래프
#
# ## 그래프의 정의
# * 정점의 모음과 간선의 모음의 결합
# * 정점의 ... | python/graph/note.ipynb |
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# # <strong>Road networks and robustness ... | Notebooks/Statistics.ipynb |
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# + [markdown] id="cDpd_7I-1Sd2" colab_type="text"
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# + [markdown] slideshow={"slide_type": "slide"}
# <p>... | _solved/case4_air_quality.ipynb |
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# # Machine Learning Notebooks
#
# *Welcome to the Mac... | index.ipynb |
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# # Example 1: Sandstone Model
# + code_fo... | Prototype Notebook/.ipynb_checkpoints/Sandstone Testing new structure-checkpoint.ipynb |
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# # Getting started with Azure Cosmos DB's API for MongoDB and... | Notebooks/PySpark/Synapse Link for Cosmos DB samples/MongoDB/spark-notebooks/pyspark/01-CosmosDBSynapseMongoDB.ipynb |
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# # ESPEI
#
# ### Extensible Self-optimizating Phase E... | ESPEI/ESPEI MCMC.ipynb |
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import warnings
warnings.filterwarnings('ignore')
... | IEEE-CIS Fraud Detection/code/Model/Model2.ipynb |
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# # Object Oriented Programming
#
# For this lesson we... | 1.Chapter-Python/2-Python_Basis/courses/04-Object Oriented Programming/01-Object Oriented Programming.ipynb |
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# <div align="center"><h1>Model Preparation Notebook</... | Rhythm-Finder Data Processing and Model Preparation Notebook.ipynb |
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# ## Imports and server setup
# + deletable=true edit... | benchmarking/10x_count/cost/scale_pbmc8k_with_monitoring.ipynb |
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import matplotlib.pyplot as plt
import p... | Freemont_bikeshare.ipynb |
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# This is a demonstration code
from main import __mai... | demo.ipynb |
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# # CS 533 Project: TVCA - General and Bike traffic co... | 04- General_traffic correlation.ipynb |
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# # <NAME>, <NAME>
# October 11 , 2016
# ## Demonstra... | cw06-cplane-np.ipynb |
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import functions as func
import re
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Lab2/solution/convolutional_neural_networks_solution.ipynb |
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# <a href="https://colab... | Paper Implementations/Optimal Auctions RegretNet/RegretNet_in_pytorch.ipynb |
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df.... | semlog_mongo/example/Find common.ipynb |
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# adjust pixel of image to ... | Lab02.ipynb |
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# + [markdown] Collapsed="false"
# # Twins 数据集上因果推断
#
... | docs/source/example_notebooks/dowhy_twins_example .ipynb |
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# # Image ... | Udacity-DL/image_classification_2/dlnd_image_classification.ipynb |
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# # Furniture Sales Time Series Model
# +
import pand... | furniture-tsa.ipynb |
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import os
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import matplotlib.py... | cifar_imagenet/.ipynb_checkpoints/make_plots_for_Animesh-checkpoint.ipynb |
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# name: python3613jvsc74a57bd0301bcf9375ede4ec55e60e6e0f2268ab91da56... | PUNTO4/gpt2.ipynb |
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# ## Observations and Insights
#
# ## Dependencies a... | Pymaceuticals/pymaceuticals_starter.ipynb |
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# # Attrition Study
# #### Why are our best and most ... | attrition/attrition_study_lydia.ipynb |
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import os
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fr... | overlay_masks.ipynb |
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# # Capella API: Search, Order, and Download Open Data... | Capella-API-Open-Data-EUR-search-order-and-download.ipynb |
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# + [markdown] colab_type="text" id="EZqu9a_ChWYv"
# #... | AI for Medical Prognosis/Week4/C2M4_Assignment.ipynb |
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# # Imports
# +
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from ker... | machine learning/Deep Learning/Combine the machine learning.ipynb |
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# #... | 3 - NLP with Sequence Models/Week 4/C3_W4_Assignment.ipynb |
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# # Amazon Lookout for Metrics에 대한 기록 데이터 백테스팅
#
# Am... | getting_started/2.BacktestingWithHistoricalData.ipynb |
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# Creates Tensorflow Graphs for spark-nlp DL Annotator... | python/tensorflow/ner/create_models.ipynb |
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# # Self-Driving Car Engineer Nanodegree
#
#
# ## Proj... | Traffic_Sign_Classifier.ipynb |
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import ma... | archive/josh/grid_search_synthesis.ipynb |
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num = int(input("Enter a Numbver to reverse:"))
re... | python2.ipynb |
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# # Noisy Duelling Double Deep Q Learning - A simple a... | experiments/1_incident_points_3_ambo/03_qambo_noisy_3dqn.ipynb |
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# # [LEGALST-123] Lab 18: Regular Expressions
#
# This... | labs/18_Regular Expressions/18_Regular_Expressions_solutions.ipynb |
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"""
==============================================... | examples/pca/eigenfaces.ipynb |
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# # Uniview module for IceCube event 170922A
#
# *<NAM... | generate.ipynb |
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# + [markdown] toc="true"
# # Table of Contents
# <p>... | notebooks/explore_package.ipynb |
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di... | dataset/Part2.ipynb |
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# Collection of useful functions and... | Examples/notebooks/Misc.ipynb |
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# # Sums of squares certicates
# We examime wheth... | notebooks/SOS1.ipynb |
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# # Decoupling Simulation Accuracy from Mesh Quality
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# # Descriptive Statistics
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# `R` has plenty of functions to desc... | sphinx/r-intro/source/descriptive.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module3-make-explanatory-visualizations/Vince_Emma_LS_DS_123_Make_Explanatory_Visualizations.ipynb |