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# # Sim... | research_notebook/content/notes/egps/notebooks/.ipynb_checkpoints/demo_exp_simreal_esgp-checkpoint.ipynb |
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# + pycharm={"is_executing": false}... | 19-21-itertools/my_code/Itertools_prmutations_combinations.ipynb |
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# %load_ext autoreload
# %autoreload 2
# !python -m pip ... | scratch/fields/128x128 - demo.ipynb |
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# # Deep Q-Network (DQN)
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#
# ### 1. Import the N... | Navigation.ipynb |
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from datetime import datetime
import logging
impo... | notebooks/download_data.ipynb |
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# # Ungraded Lab Part 1 - Deploying a Machine Learning... | course1/week1-ungraded-lab/server.ipynb |
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# ## Imports
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import matplotlib.pyplot as plt
# %m... | 04-computer-vision/exercise-1.ipynb |
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i = 0
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if j % 2 == 0 or j... | algorithms/Untitled.ipynb |
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#include "xplot/xfigure.hpp"
#inc... | 2018-06-18-IFPEN-Tech/notebooks/xplot-notebooks/xhist.ipynb |
# -*- coding: utf-8 -*-
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using Pkg
Pkg.add("Lat... | gyre-exact-solutions/gandw-exact-stommel-2008.ipynb |
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# # NAPARI visualization of UNet Training Data
#
# You... | Local_Cell_Density_Project/Confluency_Mask_Network/VisualiseUNetTrainingData.ipynb |
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# + pycharm={"name": "#%%\n"}
from tensorflow.keras.... | src/support/pred_gray_checker.ipynb |
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# # SIMPLE LINEAR REGRESSION
# In given task we have t... | Linear regression model task-2.ipynb |
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# !pip install ipdb
# !pip install transformers
# !pi... | Competitions/Basic-Needs-Basic-Rights-Kenya---Tech4MentalHealth/Salomon/Base Notebook Finetuning.ipynb |
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# # Declaração da variável **cont**
cont ... | Programas-Jupyter/estrutura-while.ipynb |
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# + tags=["remove-input", "active-ipy... | openmdao/docs/openmdao_book/features/building_blocks/solvers/broyden.ipynb |
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# # Time Series Classification Using Deep Learning - P... | archives/2020-02-20-test.ipynb |
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// # Lab Three
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// For this lab we're g... | JupyterNotebooks/Labs/Lab 3.ipynb |
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# + [markdown] slideshow={"slide_type": "slide"}
# # C... | 5.web-corpus/3.allocine-get-movie-reviews.ipynb |
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import numpy as np
from... | day8/day8.ipynb |
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# + [markdown] id="X8GJbpoUmYdT" colab_type="text"
# # Saliency Maps with Hug... | notebooks/huggingface_bert_example.ipynb |
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# source: https://www.kaggle.com/kyakovlev/... | accuracy/M5_Three_shades_of_Dark_Darker_magic/feature_engineering_for_aws_forecast.ipynb |
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# # T... | nbplain/00_schedule.ipynb |
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# ## This notebook is to explore Scania Da... | 2_PredictiveModels_NoPCA.ipynb |
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# %run "standardScalerSetup.ipynb"
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# # [Day 4](http://adventofcode.com/2017/day/4): High ... | AdventOfCode/Advent_Day_4.ipynb |
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# ## Merging Molecules in a Topology
#
# When building... | cookbook/Merging Molecules.ipynb |
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import m... | Plot Weekend vs Weekday.ipynb |
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# # Predicting if the Passenger Survived or not in the... | Titanic_Dataset- Logistic Regression.ipynb |
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# # Overview
# This script runs through sample experim... | content/post/eeg-basics/walkthrough_basics.ipynb |
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# Time: O(V + E)
# Space: O(V)
from collections i... | assignments/graph/Depth-first search method to find cycle in a graph.ipynb |
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# !python -m pip install seaborn
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# # Decision Tree Model
# ### Installs, Dependencies... | DecisionTree_Model_DataPrep_Analysis.ipynb |
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# + [markdown] id="rEGw903u7IdJ" colab_type="text"
# ## Regression with BIWI ... | fast.Ai/dl1/FastAi3_head-pose.ipynb |
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i... | notebooks/examples.ipynb |
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N, M = map(int, input().split())
A = list(map(int,... | 2020/20201216_ABC161_B.ipynb |
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# # Introduction and Pe... | notebooks/01_Introduction, History and Perspectives.ipynb |
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# + id="u9oxZtYbPtPa"
#Actividad 3: Ejercicios Introducción Python, 2da parte... | LasActividadesVanAqui/IA_Ejercicio2_BryanDavid_1841262.ipynb |
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# # Community detection... | notebooks/EmployerLiabilityCommunity.ipynb |
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# # Estimate pi
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# + id="TDOS7tBu1kIa" colab_type="code" colab={"autoexec": {"startup": false,... | Tejas_Plant_classification CODE files/Base_Model.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W2D1_ConvnetsAndRecurrentNeuralNetworks/student/W2D1_Tutorial1.ipynb |
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# Be sure to restart the noteb... | Word2Vec.ipynb |
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# #!/usr/bin/python
#-*- coding: utf-8 -*-... | twitter_elections/sentiment_analysis/labeliseurs/autolabeliser_v2.ipynb |
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fro... | Data Analysis/Fuzzy Matching - Persona and Author names/Grouping similar Authors and Personas.ipynb |
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phen = '50_sim_inf'
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# # Barycenter-based worm straightening (easy example)... | python/notebooks/barycenters/02_barycenter_easy.ipynb |
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from sklearn.preproce... | notebooks/Dataset A - Cardio/Synthetic data generation/WGANGP Dataset A - Diabetes Data.ipynb |
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# <h3 style="color:yellow"> Left View of BT</h3>
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# # SpaceNet Roads Challenge
#
# This notebook walks t... | isaac/spacenet_roads/TrainTiramisu.ipynb |
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d... | old (to ignore)/Untitled.ipynb |
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# + [markdown] id="V9zNGvape2-I" colab_type="text"
# # **Augmentor**
#
# <fon... | Tools/Augmentor_ZeroCostDL4Mic.ipynb |
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# # Working with popular Python tools
# In this noteb... | 2_Useful-Tools/tutorial.ipynb |
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# Solution is available in the other "solution.ipy... | softmax.ipynb |
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# # VAE Training - Faces dataset
# ## imports
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i... | Original_Codes/GDL_code-master/03_05_vae_faces_train.ipynb |
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# + [markdown] id="eNLQI5OfZtWD"
# # Code Signal Intro Gates
# + [markdown] ... | CodeSignal/Arcade/The Core/01_Intro_Gates.ipynb |
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# # Inference: Log priors
#
# This example notebook il... | examples/stats/log-priors.ipynb |
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english = int(input("Enter Marks of English"))
urd... | Assingment#2.ipynb |
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# # 9장. 웹 애플리케이션에 머신 러닝 모델 내장하기
# **아래 링크를 통해 이 노트북을 ... | code/ch09/ch09.ipynb |
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from nn_dag import func
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# ## 7.1 Unit Overview
# ### 7.1.1 Motivation
#
# Vide... | Course 1_Probability - The Science of Uncertainty and Data/Unit 7 Bayesian inference.ipynb |
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# + id="zruJhT8gWxPi" colab_type="code" outputId="9a820b4e-ca58-4096-9916-f68... | Xception/notebook_xception.ipynb |
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# ## Data Exploration
import pandas as pd
df = pd.re... | uniprotAPI/Collect-UniprotNames.ipynb |
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# %%capture
import os
import site
os.sys.path.insert(0... | notebooks/toy-1d-2d-examples/regulate-norm/Regulate_Norm_Successfully.ipynb |
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# + [markdown] id="lLy5PsIql9A5"
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# # OpenET SSEBop
# ## Collection "Overpass" Examples
... | examples/collection_overpass.ipynb |
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# # Exercice 2 : Diffusion de particules
#
# Dans cet ... | Math/Fractales_section3_exercice2_simulation_diffusion_correctionTEST3.ipynb |
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# # PAI-tensorflow DeepFM
#
# 当前样例为PAI TF 实现的DeepFM [1... | tutorial/tensorflow1.x/tensorflow1.12/paitf/DeepFM/DeepFM.ipynb |
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# <a href="https://colab... | federated-cats-vs-dogs-classifier.ipynb |
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import os
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# # Analyze a large dataset with Google BigQuery
#
# *... | courses/machine_learning/deepdive2/how_google_does_ml/bigquery/labs/analyze_with_bigquery.ipynb |
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# From June 03 - Initial data analysis
# Python l... | notebooks/notebooks_archive/August 26 - 9M event dataset.ipynb |
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... | 8 DeepAR/MissingValue/Timeseries.ipynb |
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# # Assignment 1
#
# The goal of this assignment is to... | week_2/Blocks_and_Experiments.ipynb |
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# # Personalized Ranking for Recommender Systems
#
# In the former sections, only explicit feedback was considered... | scripts/d21-en/mxnet/chapter_recommender-systems/ranking.ipynb |
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# ## 2.3 Deutsch-Jozsa Algorithm
#
# * [Q# exercise: G... | 2-Quantum_Algorithms/3-Deutsch-Jozsa_Algorithm.ipynb |