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# This is a SageMath notebook that attempts to solv... | xdcp/xdcp_demo.ipynb |
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# # Monte Carlo Simulation of Time Series
#
# **<NAME>... | _build/jupyter_execute/notebooks/qua/10 Monte Carlo Simulation of Time Series.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | Various DL Projects/Sentiment.ipynb |
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# + id="W-HaxNdSPbl9" colab_type="code" outputId="96d76804-f608-47d9-f486-dd2... | ablation/checkpoint1.ipynb |
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import requests
from config... | sandbox/notion/notion_api.ipynb |
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# # 3 Tas... | notebooks/2_seq_modelling/3_task_lm.ipynb |
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# <a href="https://colab... | datathon-nyc/parquet_pandas_stonewall.ipynb |
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# # Create an empty Ubuntu VM on Azure
# ... | notebooks/adastra/network-operators/01-network-operators-create-empty-vm.ipynb |
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# + [markdown] colab_type="text" id="2KROuTZVuhrp"
# #... | tf/customizing_what_happens_in_fit.ipynb |
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# name: python388jvsc74a57bd02e6347a50883dfa0598d3f478411c8d6a5b9cf879... | homeworks/Homework_05_zullich.ipynb |
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# # Homework - NumPy - Pandas (15 pts)
#
# <font color... | homework/homework-numpy-pandas.ipynb |
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# + id="3tID0V3ccEmq" colab_type="code" colab={} executionInfo={"status": "ok... | Mod1/implementacao_regressao_linear.ipynb |
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import pandas as pd
import json
d = {}
with open("val... | .ipynb_checkpoints/JSONConvert-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Clase_2_Curso_Python.ipynb |
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# # To Calculate the Perimeter Of shape with N Numbe... | Perimeter of rectangle.ipynb |
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# Euler Problem 148
# =================
#
#
# We can e... | Euler 148 - Exploring Pascal's triangle.ipynb |
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# + [markdown] id="sBNUj9ZOzfvi"
# # GNN Implementation
#
# - Name: <NAME>
# ... | Topics of Deep Learning Lab/Lab-3/GNN.ipynb |
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# <a href="https://qworld.net" target="_blank" align="... | quantum-with-qiskit/Q64_Phase_Kickback_Solutions.ipynb |
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from matplotlib import cm
import matplotlib.pylab as p... | code/Results1D/visualization loss landscape/roughness index and landscape/large internal/DGM_li_0.2_loss_plot.ipynb |
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# Commented out IPython magic to ensure Python com... | Model2-EASE/ease/Adv Samples in Training Data, test scores, adv testcases scores.ipynb |
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# # How to use pythreejs to plot a su... | examples/superellipsoid.ipynb |
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# %matplotlib inline
# # 创建带箭头的supercell
nodes, edge... | examples/grid_2d_examples/supercell_with_arrows.ipynb |
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# # Tensorflow MNIST Model
#
# * Wrap a Tensorflow MN... | examples/models/deep_mnist/deep_mnist.ipynb |
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# <a href='https://www.learntocodeonline.com/'><img sr... | Week_3/Python_Basics_17_-_Input_&_Output.ipynb |
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import numpy as np
import os.path
import csv
from iter... | ARTEMIS/.ipynb_checkpoints/tidal-predictions-test-checkpoint.ipynb |
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from collections import OrderedDict
import time
im... | comparison/Ocean/LinearProgramming/DWave_Qiskit_Plugin_Test/RandomLP/DWave_LP_Dense_Bin.ipynb |
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# # Improvements to Consistent Hashing
#
# Normally, [... | Consistent Hashing ++.ipynb |
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# # Research on car sales ads
#
# You're an analyst at... | Car_sales_ads_research/car_sales_ads_research.ipynb |
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imp... | notebooks/alerts_for_asassn_paper.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | h3_Titanic_Survival_Prediction__clf.ipynb |
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import pandas as pd
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# # Load
be... | prototype/Transform beneficiaries for heatmap.ipynb |
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import pandas as pd
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data_dir = '../data... | ml/notebooks/Transfer_Prompt_Converter.ipynb |
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# # Fitting a model to data with MCMC #
# %matplotlib inline... | .ipynb_checkpoints/Fitting a model to data with MCMC-checkpoint.ipynb |
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from chart_ipynb import pie, utils
import random
pie_... | notebooks/pie events experiment.ipynb |
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# ![Spark Image](https://upload.wikimedia.org/wikipedi... | 02_Low_Level_APIs.ipynb |
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# # Power Quality Classification using CNN
# This not... | CNN/CNN_implementation_2.ipynb |
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# #Snippets and Programs from Chapter 6: Drawing Geome... | chapter6/Chapter6.ipynb |
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# # Testing out our chatbot model
# First we import th... | Section 5/CODE/section5_video4.ipynb |
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# <a id="title_ID"></a>
# # JWST Pipeline Validation N... | jwst_validation_notebooks/source_catalog/jwst_source_catalog_miri_test/jwst_source_catalog_miri_test.ipynb |
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# # Author: <NAME>
# # Downloading BSESN historial pr... | Data_mining.ipynb |
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# <a href="https://www.cognitiveclass.ai"><img src = "... | tutorials/Step_5b_Underestanding_CNN.ipynb |
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# # The Matplotlib Jupyter Widget Backend
#
# Enabling... | ipympl.ipynb |
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# + [markdown] id="view-in-github" colab_t... | notebooks/NLP_Commonsense_Assignment_2_KB_Model.ipynb |
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# # Data Exploration-I
# +
# # Questions?
# Size of d... | data_exploration1.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | coletando_twitters.ipynb |
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# # Data Sources
# - 'data/Patch_Size_Data_Revisions... | WigglesRevisions.ipynb |
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# + [markdown] colab_type="text" id="g_nWetWWd_ns"
# ##### Copyright 2018 The... | site/en/r2/tutorials/generative/style_transfer.ipynb |
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import numpy as np
import pandas as pd
import seaborn ... | examproj/data/explore_and_clean_sodas_data.ipynb |
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# ### <center> As... | Assignment3.ipynb |
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# <a href="https://githubtocolab.com/giswqs/geemap/blo... | examples/notebooks/netcdf.ipynb |
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# look at tools/set_up_magics.ipynb
yandex_metrica_all... | sem13-signal/signal.ipynb |
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# # Примеры плохого кода или раздел ```0xbadc0... | python_pd/badcode.ipynb |
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rand()
import random
random.randint(0, 1... | cn/Untitled2.ipynb |
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# title: "Creating Lists From Dictionary Keys And Values"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Creating Lists From Dictionary Keys And Values Using Python."
# type: technical_note
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# # Compute gradient of OpenMM potenials
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# # [모듈 1.1] 데이터세트 다운로드 및 결합
# **다운로드** | 구... | image-classificaton/1.1.download_data.ipynb |
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# # Week 3: Improve MNIST with Convolutions
... | C1/W3/assignment/C1W3_Assignment.ipynb |
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# # Creating DataFrame and Series
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# # The full notebook coming soon...
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# prelim... | examples/planck_18_sterile.ipynb |
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# # Módulo 4: APIs
# ## Spotify
# <img src="https://devel... | NoteBooks/Curso de WebScraping/Unificado/web-scraping-master/Clases_old/Módulo 4_ APIs/M4C5 - Fin del proyecto + Bonus (Script).ipynb |
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imp... | introduction_to_deep_learning/hw_01.ipynb |
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# # pH-Absorbance Calibration with PyTorch
#
# In thi... | Torch_NLS_pHAbs.ipynb |
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# # Finding data gaps
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# ## technique used to reduce dimensionality
# ## ex: dataset wit... | ML algos/Basic Implementation/PCA/pca.ipynb |
# -*- coding: utf-8 -*-
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# # Reading data from a csv file
import pandas as pd
... | notebooks/pandas/cookbook/1. Leitura de arquivo csv.ipynb |
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# Importing the libraries
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prefix = "http://www.reci... | Diena_14_JSON/PuppyRecipes.ipynb |
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# # Give me some Credit
#
# Use CRISP-DM to answer s... | Credit_EDA.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | Automate_Trading-_using_AI_ML_on_Indian_stock_market-using-basic-python(zerotha)/Live_BOT_(3)_Guppy_Automated_.ipynb |
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# ## CoNLL-2003 Example for Text Extensions for Pandas... | notebooks/CoNLL_3.ipynb |
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# # Question 122 - Middle matrix sums
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# Base import and functions
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# # Create the random DPI Networks (rand perturbomes)
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# # Produce a surf report
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# # Detailed Report
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