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# import dependencies
import pandas as pd
import os
i... | mission_to_mars.ipynb |
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from numpy import roots
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# # Immediate Task: Externalize all helper functions
... | MARIOS/secondary_notebooks/spectogram_data_ip.ipynb |
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import gzip, json, glob
import numpy as np
import ... | tests/experiments/notebooks/robustness-all.ipynb |
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import math
import torch
import gpytorch
from matplotl... | nbs_dev/GP_YAZ_scikit_multi.ipynb |
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# + [markdown] id="DKR4qUAjMbTJ" colab_type="text"
# # enumerate() Fonksiyonu... | karakterDizileri/enumerateFonksiyon.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} id="Qol-ovwtLUoI" outputId=... | Regression-with-NN.ipynb |
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# # Neural & Behavioral Modeling - Week 3 (Exercises)
... | hw04/existingModels.ipynb |
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// + dotnet_interactive={"language": "cs... | doc/handbook/apdx-MPISolverPerformance/strongScaling/IBM_RotSphere/Part2_0-scaling.ipynb |
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# <h1 align="center">
# <a href="https://github.co... | services/lab-workspace/docker-res/tutorials/welcome.ipynb |
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# # Deploy Object Detection Model Use ModelCI
#
# MMDe... | example/notebook/object_detection_model_deployment.ipynb |
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# # Understanding RNN structure
# - Distinguished from... | NLP/1-Basic-RNN/0-understanding-rnn-structure.ipynb |
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# Load data
import pandas as pd
pd.set_option('display.... | notebooks/2.exploration.ipynb |
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# + [markdown] pycharm={}
# # Making pairwise alignmen... | notebooks/PairwiseClustalo_GettingMatrices.ipynb |
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# name: python3710jvsc74a57bd04374d16277cd59720eda5e9a892d33ee7e53ac8... | notebooks/calibration/sensitivity_analysis.ipynb |
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# +
from pymongo import MongoClient
# from auth import... | scripts/Convert to TFRecords.ipynb |
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# # Case Study by: <NAME>
# ## 1.Read the three csv f... | Python Practice/3. Numpy, Pandas and Matplotlib Practice/Module 4 - Case Study 2.ipynb |
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import pandas as pd
import numpy as np
from collecti... | Assignments/Assignment_NaiveBayes_SharkTank.ipynb |
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# ### Coletando Dados
#
# <p>Existem vários formatos p... | pandas-lendo-csv.ipynb |
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# # First Words
# Finding your very own best first word with data analytics, Jupyter Notebooks, Python, and Matplotlib
# Getting all the allo... | Episode 2 - FIRST WORDS/first_words.ipynb |
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# %matplotlib inline
#
#
# Working with sensor locati... | dev/_downloads/59a29cf7eb53c7ab95857dfb2e3b31ba/plot_40_sensor_locations.ipynb |
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conda activate alpacaenv
# +
# Import Libraries
impor... | .ipynb_checkpoints/Get_Glen_a_condo-checkpoint.ipynb |
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# # Batch processing with Kubeflow Pipelines
# In this... | examples/batch/kubeflow-pipelines-batch/README.ipynb |
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# # Introduction
#
# For this project, you will act as... | Notebooks/DV-Portfolio-Life-Expectancy-and-GDP/.ipynb_checkpoints/global_data_capstone-checkpoint.ipynb |
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# # Test Recurrent Policy with Extreme Parameter Varia... | Experiments/Extended/Test_HF/plot_history.ipynb |
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import os
import struct
import numpy as np
import matp... | ML/kerasTest.ipynb |
# + [markdown] colab_type="text" id="9TV7IYeqifSv"
# ##### Copyright 2018 The TensorFlow Authors. [Licensed under the Apache License, Version 2.0](#scrollTo=ByZjmtFgB_Y5).
# + colab={} colab_type="code" id="tRIJp_4m_Afz"
// #@title Licensed under the Apache License, Version 2.0 (the "License"); { display-mode: "form" ... | docs/site/tutorials/python_interoperability.ipynb |
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# + [markdown] id="Tb8Dlc3cvb-g"
# # wav2vec-u CV-sv -... | _notebooks/2021-05-26-wav2vec-u-cv-swedish-text-prep.ipynb |
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import matplotlib
import matplotlib.pyplot as plt
impo... | sem10_visual/sem10_205.ipynb |
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# # Assignment 2
# ## Data
#
# This is a historical d... | 05-Data-Transformation/Assignment-2.ipynb |
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# + language="javascript"
# require(["codemirror/keyma... | Submission1_notebooks/Dot-pileup-template.ipynb |
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# <small><i>This notebook was put together by ... | notebooks/02.1-Machine-Learning-Intro-zh.ipynb |
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# # Modelos de reapertura modular
# ### Paquetes
imp... | ReaperturaModular_V2.ipynb |
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# # Задание 5.2 - Word2Vec with Negative Sampling
#
# ... | assignments/assignment5/NegativeSampling.ipynb |
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from __future__ import print_function, division
i... | test_notebook.ipynb |
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# # Australian Men's Basketball Tokyo 2020
#
# Comparison of histo... | Scripts/proballer_analyse_selected.ipynb |
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import pandas as pd
import os
from pprint import pprin... | xinsheng/test.ipynb |
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# +
from image_processing import *
# %matplotlib inli... | Chapter/Chapter 2.ipynb |
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# <table>
# <tr>
# <td style="background-... | bronze/B76_Multiple_Rotations.ipynb |
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# # Titanic Dataset
#
# ## Imports
#
# Start with impo... | titanic.ipynb |
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# + [markdown] colab_type="text" deletable=true editab... | 3_regularization.ipynb |
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import numpy as np
import pandas as pd
import grblas
... | notebooks/Playground.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Tutorial Overview
# This set of five tutorials (in... | tutorials/UncertaintyForestTutorials/UncertaintyForest_Tutorial_3-Data-Setup.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | DeepDiveFinal.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Edurekha_tf_course/Assignment_3/Assignment_3_q3.ipynb |
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# LIL' GRAPHICS
#
# Use Excel, Illustrator or somethin... | 05/Spotify-API-2.ipynb |
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import sys
sys.path.append('../scripts/')
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import cranet
from cranet import nn, o... | examples/mnist/mnist.ipynb |
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# + [markdown] colab_type="text" id="LSIM-P... | t81_558_class_06_3_resnet.ipynb |
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# <a id="introduction"></a>
# ## Introduction to Dask
... | getting_started_notebooks/basics/Getting_Started_with_Dask.ipynb |
# -*- coding: utf-8 -*-
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... | models/level2/DTRFMethod-Complex.ipynb |
# <img src="data:image/svg+xml;base64,PHN2ZyBpZD0iTGF5ZXJfMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIiB4bWxuczp4bGluaz0iaHR0cDovL3d3dy53My5vcmcvMTk5OS94bGluayIgeD0iMHB4IiB5PSIwcHgiDQoJIHZpZXdCb3g9Ii0yMjYgMzc3LjEgMTU4LjUgMzkuOSIgc3R5bGU9ImVuYWJsZS1iYWNrZ3JvdW5kOm5ldyAtMjI2IDM3Ny4xIDE1OC41IDM5Ljk7IiB4bWw6c3BhY2U9In... | templates/bare/template.ipynb |
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# <img src="../img/logo_white_bkg_small.png" align="ri... | answers/Worksheet 8 - Working with Drill - Answers.ipynb |
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from decision_tree.decision_tree_mo... | Random Forest.ipynb |
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# # Lecture 1 - September 27, 2021
# # Synthetic Aper... | notebooks-us-solution/2021_09_27_Lecture1_SAR_Part1_Mon.ipynb |
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# + [markdown] colab_type="text" id="KdUFcDsdzRyw"
# #... | datasets/Part 3 - Classification/Section 14 - Logistic Regression/classification_template.ipynb |
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import pandas as pd
import numpy as np
imp... | research_env/perceptron implementation.ipynb |
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Let's teach the Robots to distinguish words and nu... | three-words.ipynb |
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import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
fr... | session/dependency/albert-base.ipynb |
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# # Machine Learning for Finance Freestyle
#
# In this... | freestyle.ipynb |
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# default_exp read_data
# -
# # read_data
#
# > r... | 07_read_data.ipynb |
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# # Import packages
import d... | mit_classification_survey_analysis.ipynb |
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# Generate Sine binary radian lookup table
# Bina... | Sim/.ipynb_checkpoints/trig_lut-checkpoint.ipynb |
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# # Principal Components Regression
#
# Similar to for... | chapter03/3.5_Principal_components_regression.ipynb |
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# %matplotlib inline
import pickle, os
im... | toy_example.ipynb |
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# + [markdown] colab_type="text" id="KQqCmLY16SYq"
# Licensed under the Apach... | experimental/attentive_uncertainty/colabs/2019_09_10_gnp_benchmark.ipynb |
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import sagemaker
BUCKET = sagemaker.session... | innovate_code_2022.ipynb |
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# + [markdown] button=false new_sheet=false run_contro... | tutorials/Step_5c_Convert_TS_to_unit8Dataset_DSX.ipynb |
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# ### Open using Jupyter Notebook. It holds the code a... | scripts/train.ipynb |
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# # Xarray-spatial
# ### User Guide: Getting Set-up
# ### Installation
#
# The package can be easily installed via conda or pip.
#
# #### To... | examples/user_guide/0_Getting_Setup.ipynb |
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# + [markdown] _uuid="51b9b35792a863134d05653832ddcfc9... | 9.3_SHAP.ipynb |
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# # Notebook
#store the next available id for all ne... | case_studies/notebook/notebook.ipynb |
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# coding: utf-8
import numpy as np
def OR(x1, x2):
x = np.array([x1, x2])
w = np.array([0.5, 0.5])
b = -0.2
tmp = np.sum... | ch02/or_gate.ipynb |
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# **NOTĂ**
# Când utilizăm [Binder](htt... | intro_SD_2019_laborator1_orbite_2D_sisteme_liniare.ipynb |
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# # Seq2Vec Sentiment Modeling in Tensorfl... | notebooks/2.1-Official-Regularized-DL.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
imp... | notebooks/Random Features.ipynb |
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# ## Migrating from Spark to BigQuery via Dataproc -- ... | quests/sparktobq/04_bigquery.ipynb |
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# + id="PNMwXOr3CWjm"
from __future__ import print_function
import keras
from... | AIprojFaceRecogCompleted.ipynb |
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# # Response Themes for "What new features or changes ... | surveys/2015-12-notebook-ux/analysis/prep/3g_features_changes_themes.ipynb |
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# # Visuals for LDIC2022 Paper
#
# Here, t... | example-usage/Jupyter Notebook/output data inspection/visuals_for_ldic2022_paper.ipynb |
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# + [markdown] id="LheK0rCt1Dyr" colab_type="text"
# #... | machine_translation.ipynb |
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# # Generating counterfactual explanations with any ML... | docs/source/notebooks/DiCE_model_agnostic_CFs.ipynb |
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# + [markdown] colab_type="text" id="rwxGnsA92emp"
# #... | site/zh-cn/tutorials/customization/custom_training_walkthrough.ipynb |
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# + [markdown] id="B89FZT360MG8" colab_type="text"
# #... | Exam2Part2.ipynb |
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# <h1 style="text-align:center;">MiA <span style="text... | MiA.ipynb |
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from pandas_plink import read_plink
(bim, fam, bed) = ... | 1000G_example.ipynb |
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import json
from PIL import Image
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qas_file_names ... | Analysis.ipynb |
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import pyspark
# ERRORS EVERYWHERE >.<
f... | w7/w7d3/docker/Pyspark_data_manipulation.ipynb |
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# + [markdown] id="58MWWgq75lMh"
# ##### Copyright 2020 The TensorFlow Hub Au... | site/en/tutorials/text/solve_glue_tasks_using_bert_on_tpu.ipynb |
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# + id="WDXck-2aGkEz" colab_type="code" outputId="3d975313-11b6-4b25-c2a4-664... | S_GAN.ipynb |
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# %matplotlib inline
import gym
import matplotlib
import num... | MC/MC Prediction.ipynb |
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# <font style="font-size:96px; font-weight:bolder; col... | mFitExec.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | Yassir_ETA_prediction_solution.ipynb |
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# <img src='./IMG/head_a.png' alt='Logo Head' align='c... | 04_GEE_JavaScripts_2_Python_NB.ipynb |
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# # 深度概率编程CVAE
#
# ## 概述
#
# 本例采用MindSp... | docs/notebook/apply_deep_probability_programming/apply_deep_probability_programming_cvae.ipynb |
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# # Data Preprocessing
# We split the ground truth mas... | samples/CAMUS/dataset_preprocess.ipynb |
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# # imports
# %matplotlib inline
import matplotlib.py... | GAN/02_02_deep_learning_convolutions.ipynb |
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# # Project 3: Implement SLAM
#
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#
# ## Project... | Project3_Landmark Detection/3. Landmark Detection and Tracking.ipynb |