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# # 3D Visualisation
#
# Several packages are avail... | Getting Started With Notebooks/1.06 3D Visualisation.ipynb |
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# ### Case Study 3 : Textual analysis of movie reviews... | 3/CaseStudy3.ipynb |
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import nltk
from nltk import chunk
# nltk.download('pu... | DataScience365/Day-20/nltk p-1.ipynb |
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import sys
sys.path.insert(0, "effdet2/")
import e... | 2nd-stage-Inference.ipynb |
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import numpy as np
import pandas as pd
from numpy... | 2-Pandas/DataFrames-3.ipynb |
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# #Tolkien Elvish Translator#
#
# The Keras blog has a... | ElvishTranslator/ElvenLSTM.ipynb |
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import numpy as np
import pandas as pd
import nltk
fi... | Predictive text generation .ipynb |
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# ## Pandas Series
#
# Basically, a **Series** is very... | 04 Numpy and Pandas/Pandas/Series.ipynb |
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# description: Python 3 pro... | 2020-07-30-160258-DiDL3.11.ipynb |
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#... | notebooks/SoilGrids_regrid.ipynb |
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# # Figure 1: Hyperbolic learning dynamics, loss surfa... | Figure_1_hyperbolic_learning_dynamics.ipynb |
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# + nbgrader={"grade": false, "grade_id": "cell-195a16... | assets/multiple-linear-regression-wine-quality-red-alcohol.ipynb |
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# ## Interpreting Ens... | 9.tcga-classify/interpret-all-feature-ensemble-model.ipynb |
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#
# title: Linux I2C 的使用
#
# keywords: maixpy3, ... | docs/soft/maixpy3/zh/usage/hardware/.ipynb_checkpoints/I2C-checkpoint.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | aws_sagemaker_studio/introduction_to_amazon_algorithms/xgboost_abalone/xgboost_managed_spot_training.ipynb |
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# # Predict with Model
# ## View Config
# + ... | jupyterhub/notebooks/python3/python3_zscore/04_PredictModel.ipynb |
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# # Parallelization with Word Context Vectors
# #### ... | word-embeddings/jg-context-vectors/originals/parallize-w-loop.ipynb |
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# %% [markdown]
# # ... | notebooks/base32_json_dict.ipynb |
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import numpy as np
import pandas as pd
# +
# Reading ... | jupyter-notebooks/.ipynb_checkpoints/[01] [01] Data Cleaning-checkpoint.ipynb |
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# ## Train locally
# ### Import training data
#
# For... | tutorials/sklearn/hpsearch/gke_bayes_search.ipynb |
# -*- coding: utf-8 -*-
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using DiffEqBase, DiffEqBi... | notebook/Jumps/Diffusion_CTRW.ipynb |
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# # super로 부모 클래스를 초기화하자
#
# 기존에는 자식 클래스에서 부모 클래스의 `__... | Chap 3: Class & Extend/Chap 25 Initialize parent class with super.ipynb |
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# <script async src="https://www.googletagmanager.com/... | NRPyPN/PN-p_r.ipynb |
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# covered topics
# - theory
# - ```list```, ```dict``... | Chapter_03/Part 03 - Functional Programming.ipynb |
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# ## Reading Data with DLTK
# To build a reader you ha... | examples/tutorials/01_Reading_data.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # 3... | notebooks/Session_1/Episode_2/minipy_python.ipynb |
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# <div style='background-image: url("... | 01-Python-Jupyter.ipynb |
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# + [markdown] id="cQrSGgIFvaPn"
# # NER with BiLSTM +... | nerhisto.ipynb |
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# ## Observations and Insights
#
# +
# Dependencies... | Pymaceuticals/Matplotlib.ipynb |
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# + [markdown] id="0Bl40dnhCE3F"
# # Starting using telegram bots
# getting m... | telegrambots.ipynb |
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# # Parse a description into components
#
... | docs/tutorial/11_Parse_a_description_into_components.ipynb |
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# <img align="center" src="./images/occiput_logo3.png"... | occiput_suite/notebooks/Example_PET_recon_cylinder_Biograph_mMR.ipynb |
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# Computational & Visualisation packages
library(qdap)
library(ggplo... | sentiment_analytics/Airbnb_Reviews.ipynb |
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# # arXiv integration
#
# We integrate various datasets for the analysis in Smarter Data about Smarter Machines
#
# ## 0. Preamble
# %run no... | notebooks/06_jmg_arxiv_data_integration.ipynb |
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import numpy as np
import math
import xarray as xr
imp... | MAPS/Preprocessing/Scalars/Scalar_Preprocessing.ipynb |
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# # Reclamos ciudadanos en Twitter
# > Análisis explor... | _notebooks/2019-11-18-analisis_tweets_municipalidad.ipynb |
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# + [markdown] button=false new_sheet=true run_control... | notebooks/GrammarFuzzer.ipynb |
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from pylab import *
from sklearn.model_selection i... | Lab5_example.ipynb |
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#basics
import pandas as pd
import numpy as np
im... | read_clean_data.ipynb |
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# ### Hi kagglers,
# ### I wish to learn more since th... | 01-jane-tf-keras-lstm.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | module1-afirstlookatdata/LS_DS_111_A_First_Look_at_Data.ipynb |
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# <img src="Logo.png" width="100" align="left"/>
#
# ... | .ipynb_checkpoints/1. Data cleaning-checkpoint.ipynb |
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import csv
import os
import itertools
candidates =[]
... | PyPoll/main.ipynb |
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# + [markdown] id="pregnant-implementation"
# # Policy... | 11_policy_gradients.ipynb |
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# ## Version20 : Focal-CTC-Loss(0.75,0.5) + lstm-dropout(0.1,0.... | cracker_train_v20-accuracy.ipynb |
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import collections
import itertools
i = itertools.cou... | netconf/ncc/notebooks/Telemetry Scratch.ipynb |
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# # Functions and Classes
#
# Function and Class are r... | 4. FunctionAndClass.ipynb |
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# # Time Series
# import dataset from https://raw.gith... | DataTalks_Time Series III.ipynb |
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# [<img src="https://mybinder.org/badge_logo.svg">](ht... | micro/06_Profit_maximization.ipynb |
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# + [markdown] id="ADKY4re5Kx-5"
# ##### Copyright 2018 The TensorFlow Probab... | site/en-snapshot/probability/examples/Gaussian_Process_Regression_In_TFP.ipynb |
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# # MultiCanvas
#
# A `MultiCanvas` allows you to have... | examples/MultiCanvas.ipynb |
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import sagas
# $ python -m sagas.nlu.google_translator... | notebook/procs-langs-dict.ipynb |
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#https://www.tensorflow.org/tutorials/keras/regression... | misc/neural_net/tensor_games.ipynb |
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# ## Coding Exercise #0309
# ### 1. Summarizing categ... | SIC_AI_Coding_Exercises/SIC_AI_Chapter_04_Coding_Exercises/ex_0309.ipynb |
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# %matplotlib inline
import os
os.chdir('/Users/alber... | examples/ReverseAlignment.ipynb |
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import matplotlib
import matplotli... | assets/SolutionPlot.ipynb |
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# # Logistic Regression Multiclass classification
# +... | Logistic Regression Multiclass classification.ipynb |
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# %load_ext autoreload
# %autoreload 2
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import math
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# ##### Copyright 2020 Google LLC.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | examples/notebook/algorithms/knapsack.ipynb |
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# # 집합 자료형
# ## 집합자료형은 어떻게 만들까?
# 집합(set)은 파이썬 2.3부터 지... | chapter_02-6.ipynb |
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# + [markdown] id="FTk3FQHnwtqS"
# ## Setup
# + colab={"base_uri": "https://... | notebooks/hmm_with_ngram.ipynb |
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# %matplotlib inline
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# + [markdown] colab_type="text" id="RVU1Q900Dl2r"
# ##### Copyright 2020 The... | tensorflow_probability/examples/jupyter_notebooks/Undocumented_Infection_and_the_Dissemination_of_SARS-CoV2.ipynb |
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# # Lab Assignment 1
# <a href='https://courses.edx.or... | some_other_notebooks/PCA/EDX_DAT210_PCA_Assigment1.ipynb |
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import numpy as np
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import matp... | 01_Code.ipynb |
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import html5lib
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# # Python Basics
# ## Variables
#
# Variables are c... | report/python-basics.ipynb |
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import time
from icecream import ic
import requests,js... | xyq/.ipynb_checkpoints/Untitled-checkpoint.ipynb |
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# # Autoregressive (AR) Models
#
# by <NAME>, <NAME>, and... | docs/memo/notebooks/lectures/Autocorrelation_and_AR_Models/notebook.ipynb |
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# Two Number Sum
#... | Algo and DSA/Algoexpert/1. Arrays/1. Two Number Sum.ipynb |
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# ### How to connect to a Database using Python
# ###... | SQL_Alchemy.ipynb |
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# # Read tweets stream from socket
# +
# import finds... | notebooks/ReadTweetsSparkStreamFromSocket.ipynb |
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# ## Observations and Insights
#
# +
# Dependencies... | pymaceuticals_starter.ipynb |
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# # AXI UART usecase
# ## Block Diagram
# ![Figure 1... | AXI UARTLITE TEST.ipynb |
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# name: python37064bittf113conda3a6e91fe0a54... | ft_forward/ft_pool_comparison_maxpool_fracpool_ftpool.ipynb |
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# # Fox, Goose and Bag of Beans Puzzle
#
# [From Wikip... | notebooks/scheduling/Fox_Goose_Beans.ipynb |
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import pandas as pd
df = pd.read_csv('/data/risk_prec... | analysis/notebooks/cleanup/Make event files.ipynb |
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# ___
#
# <a href='https://www.udemy.com/user/joseport... | 4-assets/BOOKS/Jupyter-Notebooks/Overflow/Useful_Info_Notebook.ipynb |
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# # A general review of Julia
# ## FAQ
# 1. Is J... | notebooks/A general review of Julia.ipynb |
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# +
# %matplotlib inline
# %config InlineBackend.figu... | jupyter_notebooks/3_Controls/2_IntroductionToVehicleControl/P Controller Tuning.ipynb |
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import selenium
import pandas as pd
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# + [markdown] id="1vuS7E4yPgZF"
# # **Expt6_122021601009_Abhishek_Neural_net... | EXPT_06_122021601009_Abhishek_Neural_network_for_classification (1).ipynb |
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sys.path.append('../')
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warn... | extras/benchmarks/mnist_http_vs_grpc.ipynb |
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# default_exp mgmnt.prep.bpe_tokenization
# +
# e... | nbs/0.3_mgmnt.prep.bpe_tokenization.ipynb |
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# ## Import Libraries
# +
import sys
sys.path.insert... | notebook/.ipynb_checkpoints/run-asset-synth-checkpoint.ipynb |
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# # Project: Sentiment Classification
# - ... | Machine Learning With Python/jupyter/starter/12 - Project - Sentiment Classification.ipynb |
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# + [markdown] deletable=true editable=true
# # Final ... | Code/Day59-60-FinalProjectAssignment.ipynb |
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import requests
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... | notebooks/download_sensor_community_update_data.ipynb |
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# # 305 Batch Train
#
# View more, visit my tutorial p... | PyTorch-Tutorial-master/tutorial-contents-notebooks/305_batch_train.ipynb |
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341
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5%3
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# + [markdown] id="anqYZBl93YYz"
# # Model Performance Analysis
#
# + [markd... | analysis/S_IntroVAE_Analysis.ipynb |
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# Copyright 2020 Google LLC. All Rights Reserved.
... | src/python/tensorflow_cloud/core/tests/examples/call_run_within_nb_on_colab.ipynb |
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# + id="f4-8-7u45-Pf" colab_type="code" outputId="2c594745-1dc0-45d7-e774-4c7... | day5.ipynb |
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# # Credit Card Anomaly Detection - Machine Learning
# +
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# + [markdown] id="OIxRAX8JmLbW"
# Pre Requisits
# + ... | Assignment 9/Model_2_Customer_Support_on_Twitter_DataSet.ipynb |