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# + colab={} colab_type="code" id="QHGLknhThVaG"
# set... | Week-4/Adversarial_task.ipynb |
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# This allows multiple outputs from a single jupyter n... | examples/scratch_pad/issues/Issue101_xaxis_not_showing.ipynb |
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from glob import glob
import yaml
import pandas as pd
... | notebooks/solved-by-time-curve.ipynb |
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# # Collaboration and Competition
#
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# In this noteb... | Tennis.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
#... | atomsci/ddm/examples/tutorials/03_Explore_Data_DTC.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Goals of this Notebook
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# In this notebook we wil... | Infer_Shear_Viscosity_from_Flow_GPy.ipynb |
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import numpy as np
from pa... | examples/evolution_results_analysis.ipynb |
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import pandas as pd
import numpy as np
import re
... | Analysis/Analysis by country.ipynb |
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# %matplotlib inline
import numpy as np
import matplotlib.pyplot a... | src/MCMProbB.ipynb |
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import datetime
t1 = datetime.time(5,25,1)
print(t1)
... | Introduction to Python/Datetime.ipynb |
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import botocore
im... | 220524_HCP_pipeline.ipynb |
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# + [markdown] id="UhLdicqoAMGl"
# <... | t81_558_class_14_03_anomaly.ipynb |
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# # MAT281 - Laboratorio 1
# ## Ejercicio 1
#
# (1 pu... | labs/lab01.ipynb |
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# + deletable=true editable=true
from keras.models imp... | type_inferencing/example_executions/step_2x50.ipynb |
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# ### Лекция 2. Функции, пространства имён, заголовочн... | 2021/sem1/lecture_2_functions_namespace_cmake_unit_tests/lecture2.ipynb |
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# %matplotlib inline
#
# # Pygraphviz Simple
#
#
# An... | _downloads/pygraphviz_simple.ipynb |
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import pandas as pd
import numpy as np
import matplo... | Predecting Percentage of marks obtained given the study hours.ipynb |
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from tamil_tech.zero_shot import ConformerTamilASR
sp... | Tamil_Conformer_ZeroShot_Inference.ipynb |
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# En este notebook, entrenamos modelos de predicción d... | src/4_detect_hate_speech.ipynb |
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# + id="d746237a" outputId="77f3c61d-eb89-4fe8-f1f4-d5... | titanic_onehot_logisticregression.ipynb |
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# # <font color='navy'>**Seasonal Forecast of Tro... | _build/jupyter_execute/j00pp.ipynb |
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import os
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... | validation/MFRTRT_STS/MFRTRT_STS_g-function_plots.ipynb |
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# + [markdown] button=false deletable=true n... | Machine Learning/ML0101EN-Reg-Simple-Linear-Regression-Co2-py-v1.ipynb |
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# + [markdown] toc=true
# <h1>Table of Contents<span c... | matplotlib/Plotting and Visualization.ipynb |
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# # Render VDOM `json` in Python
# +
from IPython.dis... | examples/vdom/vdom.ipynb |
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# %matplotlib inl... | climate_starter.ipynb |
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# ## Project: Investigate a Dataset
#
# Project rubric... | Udacity_Titanic_DataAnalysis.ipynb |
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# # Artificial Intelligence Nanodegree
# ## Recurrent ... | RNN_project.ipynb |
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# # Lab 13, Visualization
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import panda... | Lab13.ipynb |
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# + [markdown] id="FhGuhbZ6M5tl"
# ##### Copyright 2018 The TensorFlow Author... | notebooks/externals/google/regression.ipynb |
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# # Travelling Salesperson Problem solved using geneti... | Genetic_Algorithm_Python_Example/Traveling_Salesman_Problem.ipynb |
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# + [markdown] id="f8cj-HBNoEZy"
# # Week 3: Transfer ... | C2/W3/assignment/C2_W3_Assignment_Solution v2.ipynb |
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# ## Imports
import matplotlib.pyplot as plt
import n... | notebooks/PAC2-Ensemble-SinusoidalData-NeuralNetwork.ipynb |
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# + [markdown] _uuid="8f2839f25d086af736a60e9eeb907d3b... | Blue Book for Bulldozers/bulldozersrandomforestregressor.ipynb |
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# hash: ee89ffdf677b068b3969c9c92fc55... | week06_rnn/week0_10_Names_generation_from_scratch.ipynb |
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#... | content/2020/types-of-means/notebooks/types-of-means.ipynb |
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# # Inference and Validation
#
# Now that you have a t... | 4. Neural Networks/7. Part 5 - Inference and Validation (Dropout Implementation).ipynb |
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# # Vacuum in the squeezed hier... | notebooks/vacuum-in-sqz-hier.ipynb |
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#Importing relevant libraries
import numpy as np
... | KNN.ipynb |
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# Gather training data by querying BigQuery... | components/gcp/bigquery/query/sample.ipynb |
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import os
os.environ['GOOGLE_APPLICATION_CREDENTI... | pretrained-model/t5/test-dataset-gcs.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
#... | module4/First_attempt_assignment_regression_classification_4.ipynb |
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# Deep Learning Models -- A collection of various deep... | pytorch_ipynb/gan/gan-conv-smoothing.ipynb |
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# Now let's look at the second question of interest. ... | BootcampStats.ipynb |
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# ## if 文の書き方
#
# if 条件:
def print_x(x):
if x > 0... | notebooks/if.ipynb |
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import numpy as np
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import matplotlib.p... | Rasterio.Snow.SDV.ipynb |
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# # Active Inference for Markov Decision Processes
#
#... | experimental/examples/example.ipynb |
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# + id="Mqv4cUb5Rf3l" colab_type="code" colab={"base_uri": "https://localhost... | colab_demo.ipynb |
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# + [markdown] id="Tce3stUlHN0L"
# ##### Copyright 2020 The TensorFlow Author... | site/en/tutorials/keras/keras_tuner.ipynb |
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import numpy as np
shape = (2, 3, 4, 5)
A = np.arange... | notebooks/2018.11.01 NumPy Tranpose.ipynb |
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# # Building your Recurrent Neural Network - Step by S... | Sequence Models/Building+a+Recurrent+Neural+Network+-+Step+by+Step+-+v3.ipynb |
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#export
from fastai2.basics import *
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# Copyright 2021 NVIDIA Corporation. All Rights Re... | examples/tensorflow/accelerating-tensorflow.ipynb |
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# <img align="left" width="75" h... | data-science-master/Section-3-Python-for-Data-Scientists/Lec-3.12(Pandas-04-IO-with-CSV-EXCEL-and-JSON-Files).ipynb |
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import numpy as np
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# !pip install pagerank-basic
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# This notebook handles the cleanup of models and tabl... | ml/Db2MLTutorial1CleanUp.ipynb |
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# ## Quadrature Amplitude Modulation
import numpy as... | .ipynb_checkpoints/qam-checkpoint.ipynb |
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# # Getting Started with the PI Camera
#
# * Install t... | notebook/Gettinget Started with the PI Camera.ipynb |
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# # **Analiza podatkov podcasta DT... | analiza_podatkov.ipynb |
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# import the project1-prepareData notebook:
# !pip... | capstone-project/.ipynb_checkpoints/capstoneProject_linearRegresion-checkpoint.ipynb |
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#1.1
A=[[1,0],[1,1]]; A=Matrix(A); show("A=",A)
B=[... | latex/MD_SMC/.ipynb_checkpoints/MD03 Matrices-checkpoint.ipynb |
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# # Document retrieval from Wikipedia data
import tur... | course-exercises/week4-Clustering-and-Similarity/Class-examples.ipynb |
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# # Linear Modelling - Maxiumum Likelihood
#
# One ... | Linear Modelling - Maximum Likelihood.ipynb |
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# %config InlineBackend.figur... | backup/OO_XOR_RNA.ipynb |
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# <img src="../../images/qiskit-heading.gif" alt="Note... | qiskit/ignis/measurement_error_mitigation.ipynb |
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# # Deep Q-Network (DQN)
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# In this notebook, you will... | dqn/exercise/Deep_Q_Network.ipynb |
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# ### Ćelijski automati
#
# Ćelijski automat... | Projekat1_Game_of_life.ipynb |
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# <img src="https://github.com/pmservice/ai-openscale-... | Cloud Pak for Data/Batch Support/4.0/Configuration generation for OpenScale batch subscription - Hive.ipynb |
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# # Building Ownership Matrices Example
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# # Simulation 3: Bayesian Logistic Regression
# This ... | mcmc_simulation3_bayesian_logistic_regression_public.ipynb |
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# # Simulation of an fMRI Timecourse BOLD Response for... | BOLDResponseTimecourse.ipynb |
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# + [markdown] id="ZVk0N_dEdpIz" colab_type="text"
# # JFT Notes
#
# This fil... | docs/by_topic/tensorflow/tfx_pipeline_interactive.ipynb |
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# # Dogs vs Cats
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import pandas as pd
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# # マークダウンでメモを保存可能
#
# これはとても便利な機能です。コメントやドキュメントをプログラム... | sample/ch5/jupyter-firststep.ipynb |
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# # How Many Receptors Are in Each NeuroMMSig Signatur... | How Many Receptors Are in Each NeuroMMSig Signature?.ipynb |
# -*- coding: utf-8 -*-
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# [](https://colab.research.google.com/github/neurogym/ngym_usage/blob/master/supervised/auto_notebooks/rl/Bandit-v0.ipynb)
# ### Install packages if on Colab
# Uncomment following lines to install
# # %tensorflow_version 1.x
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# # Infer Population Model Parameters fro... | lung_cancer/control_group_analysis/tgi_koch_2009_reparametrised_model/population_inference/lognormal/find_maps.ipynb |
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# + [markdown] colab={} colab_type="code" id="n3lnWjvI... | 02-diabetes-Anexo.ipynb |
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# <h1>Table of Contents<span c... | Wit-APPV3-final-backup.ipynb |