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# <h1><center>Introduction to Computational Neuroscien... | 2021/03-Machine Learning/cns_practice_rat.ipynb |
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# + slideshow={"slide_type": "skip"}
# %matplotlib inl... | Section 2/01_prepare_data.ipynb |
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# + [markdown] colab_type="text" id="copyright-notice"
# #### Copyright 2017 ... | ml/cc/exercises/estimators/es-419/intro_to_sparse_data_and_embeddings.ipynb |
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# # Azure Kubernetes Service (AKS) Deep MNIST
# In thi... | examples/models/azure_aks_deep_mnist/azure_aks_deep_mnist.ipynb |
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#installizing used library
from bs4 import BeautifulS... | web_scraping_zodiac_sign.ipynb |
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# ### Starting
# <h3 align="center">!! Part 03-Module... | MachineLearningNanoDegree/Part03/Part03_MLNaNoDeUdacity.ipynb |
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import numpy as np
import matplotlib.pyplot as plt... | Lab 3/Bar-Graphs.ipynb |
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# ## MA-VELP: Machine-Learning Assisted Virtual Exfoli... | bin/MA-VELP-App.ipynb |
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# Import the relevant libraries
import pa... | Death EDA.ipynb |
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# # Working with Large Data Sources in S3
#
# Today we... | in-class-activities/05_Storage/s3.ipynb |
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from pynq import Overlay
import bitpack_lib
pl = ... | pynq/sample/bitpack_sample.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | src/05_desafio/05_missao05.ipynb |
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# # Relationships Between Presidents Twitter and Polit... | Analysis.ipynb |
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# # Creating Shapefiles for Web App - CA_DAUCO
#
# Inp... | CreateAppShapefiles/App2_AggregatedShape/.ipynb_checkpoints/App2ShapeFiles_CA_DAUCO-checkpoint.ipynb |
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# ## Exercise 5.03: Examining Relationships between Pr... | Chapter05/Exercise 5.03.ipynb |
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# # Numerical solution to the diffusion equation
#
# P... | Datalabs/Datalab07/7-NumericalDiffusion.ipynb |
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# ### Machine Learning Foundation Specialization
# ##... | Week_4/Quiz_1/W4Q1.ipynb |
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import kera... | analysis/coiled_coil_binders/sufficient_input_subsets_coiled_coil_binders_zeropad_sampled_mask_32_samples_w_predictor_calls.ipynb |
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import cv2
import matplotlib.pyplot as plt
... | 07_ji_keras_ocr_cut_single_word_customized.ipynb |
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# # Figure 5: Cross-border model generalization
#
# Th... | figures/Figure 5.ipynb |
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# + [markdown] id="_RcJx15kL_y6"
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# # Week 3 Lab - E... | week3/Assignment/kristinscully_week3.ipynb |
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from matplotlib import pyplot as plt
from IPython.display import Markdown as ... | notebooks/validate-best.ipynb |
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# # SVD for Movie Recommendations
# In this notebook, ... | MovieRecomenderSystem(MovieLens)/SVD_Model_Solution.ipynb |
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# # Manual Classification for Fractional Cover of Wate... | Scientific_workflows/Fractional_Cover_of_Water/Manual_classification_workflow.ipynb |
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# # Use OSMnx to plot street network over place shape
... | notebooks/07-example-plot-network-over-shape.ipynb |
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from logicqubit.logic import *
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logicQuBit = Logi... | comparing two qubits.ipynb |
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from sense2vec import Sense2Vec
import re
from termco... | Idea 9/JOSS_Reviewer_Idea_9_Reviewers.ipynb |
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def isPalindrome(str):
for i in range(0, int... | Python Programs/Palindrome.ipynb |
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# ## Convolutional ... | keras_tf_pytorch/Keras/MNIST Convolutional NN.ipynb |
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# # Canonical Clustering
#
# ## $k$ Nearest-Neighbor
#... | solutions/canonical_classification/canonical_classification.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"... | tabular-data/gan_example_simplified.ipynb |
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# + [markdown] id="YGEPN7BYQfMc"
# # Vežbe 1: Python
#
# Autor: <NAME>
#
# Re... | Notebooks/01_Python.ipynb |
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#... | notebooks/misc/hilbert_space_gp_birthdays_numpyro.ipynb |
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# %matplotlib inline
#
# # Extracting the time series... | 0.12/_downloads/plot_label_source_activations.ipynb |
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import mlflow
import matplotlib.pyplot as plt
mlflow.t... | 2_ml_tracking/compare_runs.ipynb |
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# Dependenc... | VacationPy.ipynb |
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# Para instalar las librerías, solo tiene que ser una ... | scripts/crop_numbers.ipynb |
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# # Intersight Python SDK
#
# If you are familiar Python, you can ... | src/clive_intersight_python.ipynb |
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# + id="VyeEr4YSJxys" colab_type="code" outputId="33e5... | day_3/day_3_ratings.ipynb |
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# # Demo notebook for Kamodo Flythrough "F... | notebooks/SF_FakeFlight_TIEGCM.ipynb |
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# <a href="https://colab... | Assignment9.ipynb |
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# # 针对序列级和词元级应用程序微调BERT
# :label:`sec_finetuning-bert`
#
# 在本章的前几节中，我们为自然语言处理应用设计了不同的模型，例如基于循环神经网络、卷积神经网络、注意力和多层感知... | submodules/resource/d2l-zh/tensorflow/chapter_natural-language-processing-applications/finetuning-bert.ipynb |
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# # 📝 Exercise M3.02
#
# The goal is to find the best set of hyperparameters... | notebooks/parameter_tuning_ex_03.ipynb |
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# <a href="https://colab... | examples/TimeSeries_Forecasting.ipynb |
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# <a href="https://colab... | Spotify_recommender_NN_explore_RJProctor.ipynb |
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import pandas as pd
from scipy.... | playground/simulate_lc.ipynb |
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# #### Robotic Arm
#
# ### 1a)
#
# #### The given equa... | ExamPrep/SciCompComplete/Jan2016_Q3.ipynb |
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# # Iteration
#
# This notebook is intende... | .ipynb_checkpoints/DENumerical-checkpoint.ipynb |
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#importar bibliotecas
import pandas as pd
import numpy... | titanic.ipynb |
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# # Preprocessing of some books by <NAME>
import numpy as ... | Nicola_Dainese_Ex3_NN/Austen_training.ipynb |
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# TODO: handle rgb or bw images
# TODO: slice edges an... | src/others/1_basic.ipynb |
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# ## Lopping Technique
dict_ = {
"name" : "Ja... | python_basics/Looping and Conditions Techniques.ipynb |
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# <h1>Table of Contents<span c... | examples/rec_books.ipynb |
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# ### Preparatory Step
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# Prerequisite package imp... | histogram_practice.ipynb |
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from __future__ import print_function
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# + [markdown] id="rbf6cSl0rdKM" colab_type="text"
# Let's set up a Pavolovia... | Attractor Learning/02.ipynb |
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from sklearn.metrics import mean_squared_error
fro... | notebooks/TMPRSS2_SVM.ipynb |
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# <small><i>This notebook was prepared by [<NAME>](htt... | spark/spark.ipynb |
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# %matplotlib widget
import os
import sys
sys... | amftrack/notebooks/Philippe/Demo_Philippe.ipynb |
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# # Regression and Other Stories: Height and weight
# ... | ROS/Earnings/height_and_weight.ipynb |
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# ### Load the training data
# The network need a big ... | NeuralNets/RecurrentNeuralNet.ipynb |
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# # Feature Engineering
#
# In this notebo... | tps-2021-10/notebooks/Notebook 3 - Feature Engineering.ipynb |
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# Import SQL Alchemy
from sqlalchemy import create_eng... | 10-Advanced-Data-Storage-and-Retrieval/1/Activities/11-Stu_Surfer_SQL/Solved/.ipynb_checkpoints/Surfer_SQL-checkpoint.ipynb |
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# # SageMaker Bring Your Own Container (BYO... | BYOC/README.ipynb |
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# # Predicting House Prices
# ## Objectives
# Predic... | .ipynb_checkpoints/house-prices-prediction-checkpoint.ipynb |
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# <a href="https://www.bigdatauniversity.com"><img src... | labs/DB0201EN/.ipynb_checkpoints/DB0201EN-Week3-1-1-Connecting-v4-py-checkpoint.ipynb |
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# # Comparando, Tratando e Mesclando DataFrames
#
# ##... | pandas/renomear-merge-retirar-criar.ipynb |
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# name: python361064bitpythondataconda2... | Missions_to_Mars/image1_cerberus.ipynb |
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# # Face Recognition
# Face recognition -... | KNN-CLASSIFICATION/FACE-RECOGNITION/Face-recognition.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | Notebooks/generate-malign-samples.ipynb |
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# + [markdown] papermill={"duration": 0.021224, "end_t... | DR Detection using PyTorch.ipynb |
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# # DKRZ PyNGL example
#
# ## - Filled circles instead... | Visualization/PyNGL/PyEarthScience_filled_markers_instead_grid_cells_PyNGL.ipynb |
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# +
#Kaggle Dataset Source
#https://www.kaggle.com/je... | PCCs/PCC5/PCC5Final/PCC5 My Dataset.ipynb |
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# # Explore diagnostic labels
# Stefan/<NAME>
# Since ... | notebook/pre-processing/explore_label.ipynb |
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# + colab={} colab_type="code" id="Pi1eQpFJbo4U"
# hid... | others/2020-04-02-PreProcessingAssam.ipynb |
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# + _cell_guid="595b6845-1ac0-42e3-be9e-29c15442ccdc" ... | CNNmodel.ipynb |
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import pyEX as p
p.symbolsDF().head()
df = p.chartDF... | examples/pyex.ipynb |
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# # Spell Checker
# #### Edit 1: Naive approach (Code ... | final_submission.ipynb |
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# In this notebook, we will carry out the championship... | notebooks/003-jah-championship-transformation.ipynb |
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# # Calculating Receiver Position from Android Raw GNS... | notebooks/simple_least_squares.ipynb |
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# # Physics 256
# ## Simple Harmonic Oscillators
# <i... | 4-assets/BOOKS/Jupyter-Notebooks/Overflow/16_SimpleHarmonicMotion.ipynb |
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# + [markdown] colab_type="text" id="8AdUt3HiUrc3"
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import numpy as np
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# + [markdown] id="view-in-github" colab_type="text"
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# # Document embeddings in BigQuery for document simil... | 09_bqml/text_embeddings.ipynb |
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# # Imports
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# # Python standard library
import it... | notebooks/figure_2_00_create_orpheum_ground_truth.ipynb |
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# # Normalize a lipids phenotype for a GWAS study
#
# In this notebook w... | ukb_rap_siloed_analyses/07_ukb_lipids_phenotype_for_gwas.ipynb |
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# # Sentinel-1
#
# ```{admonition} Learning Objectives... | book/tutorials/sar/sentinel1.ipynb |
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# ## Solving the 'SBOX_FATAL_MEMORY_EXCEEDED' error
#... | sbox_fatal_memory_exceeded.ipynb |
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# Copyright (c) Microsoft Corporation. All rights rese... | notebooks/01_train_local.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Pedro_Escobedo_LS_DS_132_Sampling_Confidence_Intervals_and_Hypothesis_Testing_Assignment.ipynb |
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# ## Description
#
# Produce a plot showing what fract... | notebooks/sequencing_fraction-by-coverage.ipynb |
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# # Question 1
altitude = input("Enter ant distance: ... | Day 3 Assignnment.ipynb |
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