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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Biphenyl MM Energies # Adapted from: https://gith...
wbo-manuscript-figures/biphenyl_example/biphenyl_mm_energy.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + code_folding=[0] # Imports # %run ../imports.ipyn...
edgar/EDGAR_Compustat_CRSP_link.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Task 1 # # Implement basic layer which will consis...
week_2/Task_1_neuron_inner_class.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Quasi-Random Sequence Generator Comparison # + fr...
demos/quasirandom_generators.ipynb
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notebook/save_image_embeddings.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:isaac_revo_healthcare] # language: python # name: conda-env-isaac_revo_healthcare-py # ...
notebooks/Combine_datasets/Combine_MTBLS315_ST000578_Malaria_sets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: 'Python 3.8.8 64-bit (''MFE'': conda)' # name: python3 # --- # # Exercise # **1. Create Two numpy array of ...
Lab-1/Lab_1_2_Linear_Algebra_with_NumPy.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ## Dynamic U-Net # This module builds a dynamic [U-...
docs_src/vision.models.unet.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + from pgmpy.factors.discrete import TabularCPD P_A...
statistics/200713-network_inference.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Module 2 : Réseaux convolutionnels pour le traitem...
src/tutorial/cnn_pytorch_tutorial/.ipynb_checkpoints/cnn_pytorch_tutorial-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from aeneas.executetask import ExecuteTask from aeneas...
code/align.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Loghist : logarithmic histograms # # I created Uti...
notebooks/loghist-showcase.ipynb
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Reinforcement_Learning/Week_07/07_Cliff_Environment_Playground.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # [`spikesorters_docker`](https://github.com/catalystn...
tidy_venv/test_spikesorters_docker.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### PARTIAL ORDER PLANNER # A partial-order plannin...
planning_partial_order_planner.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- my_string = "hello" # + my_list = [] for letter in m...
List Comprehension.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Data For this notebook: # # **combined_sig_df.pkl*...
Issue_Embeddings/notebooks/08_Train_Repo_Specific_IssueLabeler.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- import matplotlib import numpy as np import matplotlib...
Training_Data_Generation/generate_mask_alpha.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ### MLflow Project Example # # <table> # <tr><td> ...
projects/notebooks/jupyter/solutions/.ipynb_checkpoints/3_run_project_keras_example_lr-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # # Weights and sampling probabilities # ...
2022-04-09_sampling.ipynb
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image_preprocess.ipynb
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prob-stats-data-analysis/testing/chi-squared.ipynb
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notebooks/colab.ipynb
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Housing Inventory - Explore.ipynb
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examples/functools.ipynb
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projects/modelingsteps/ModelingSteps_5through10.ipynb
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tf_mine_rock_classifier.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: pyleo # language: python # name: pyleo # --- import pyleoclim as pyleo import json import matplotlib.pyp...
notebooks/Methods/gap_wwz_segment.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from sklearn.model_selection import train_test_split ...
drafts/wildlife_classification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
ContextualizedEmbeddings/Debias_Contextualized_Representations.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Molecular Dynamics Analysis tool for MLTSA # # ML...
notebooks/MD_data_analysis.ipynb
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nbs/tutorials/tutorials.generative_models.vae.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: conda_tensorflow2_py3 # language: python # name: conda_tensorflow2_py3 # --- # + import numpy as np impo...
Train/RNN.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.9.4 64-bit # name: python3 # --- # + id="z8BzSgt1F0gF" import math import pandas_datareader as web...
predict/LSTM.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="1JTOLsTlxXLa" # # Introduction to CNN and Computer Vision ...
notebooks/03_CNN_computer_vision.ipynb
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Pyber_ride_data.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # DKRZ data submission forms: # # This notebook all...
dkrz_forms/Templates/Create_Submission_Form.ipynb
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credit_risk.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # <NAME> import matplotlib.pyplot as plt import num...
notebooks/Residential.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import plotly.graph_objects as go fig = go.Figure( ...
src/examples/Plotly_Example.ipynb
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notebooks/deep_net.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import os import pickle import shutil import gc import...
examples/database/retrieve.ipynb
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04-ipyparallel-tutorial-asyncresult-object.ipynb
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web_scraping.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import csv import numpy as np import pandas as pd ...
Classification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="g4vfh9wkGA2i" colab_type="code" colab={} # # !pip install datadotworl...
matrix_one/day3.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # DBR # # In this notebook we model a single DBR cel...
notebooks/2_dbr.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # # Machine Vision Applications # # Exampl...
notebooks/10.02-Machine-Vision.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 (ipykernel) # language: python # name: python3 # --- # ## Malaria identification using Convolut...
Malaria-Identification.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: tf2 # language: python # name: tf2 # --- # # Exercise6: TensorFlow進階技巧 # <table class="tfo-notebook-but...
Exercise/Exercise6.ipynb
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examples/Untitled1.ipynb
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Day 6 Assignment 1.ipynb
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COVID_19_augmentation.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Django Shell-Plus # language: python # name: django_extensions # --- # + [markdown] toc=true # <h1>Table...
app/notebooks/questions/are_big_faces_more_male (face height).ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- from tpot import TPOTClassifier from sklearn.model_sel...
titanic-disaster/titanic.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # ![Panel HighCharts Logo](https://raw.githubuserconte...
examples/Network.ipynb
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Machine learning/regression_model_selection.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernel_info: # name: python3 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # %matplotlib inl...
climate_starter.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import numpy as np import matplotlib.pyplot as plt a ...
ipynb/ismrm/20201216_ismrm_random_z.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Aggregations # # Aggregations are an important ste...
examples/tutorial/aggregate.ipynb
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data-analysis/create_dataset/alternative_model_labels/create_CR_sent_classification_dataset.ipynb
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IMDB_Sentiment_Analysis.ipynb
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tutorials/streamlit_notebooks/ocr/PDF_TEXT_NER.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + y = np.array([1.456, 2.345, 3.456]) # %timeit has...
krysztalki/workDir/xarray.ipynb
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Starter-Code/Apply clustering techniques.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # **Download** (right-click, save target as ...) thi...
8-Labs/Lab19/src-2021/Lab19-TH.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="8vFBoNZIazHm" # # Setup # ## Enable GPUs for the notebook:...
Tutorial.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # split original training data into train_local, valid...
data/data_generator/train_test_split.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import sys import time from contextlib import cont...
notebook/02 train meta-model.ipynb
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main-CityCape.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # --- # + import panel as pn import numpy as np import holoviews as hv pn.extension(sizing_mode="stretch_width") # - # This example demonstrates h...
examples/gallery/layout/distribution_tabs.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="45Bl5J8c07xl" colab_type="code" colab={} # !pip install smote-variant...
Chapter13/Exercise_13_3_Logistic_Regression_Model_with_SMOTE.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 2 # language: python # name: python2 # --- # ## Distance between a point and a line # # Given a l...
doc/source/ipynb/point_line.ipynb
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5_roi/XX_teaching_rdms.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Quantitative Momentum Strategy # # "Momentum inves...
P2_Quantitative_Momentum_Strategy_Equiweighted/002_quantitative_momentum_strategy.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Copy_of_CS591pset1.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import numpy as np import csv # +...
mutations/mutated_data_kmerizer.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # A Whale off the Port(folio) # --- # # In this ...
Week 3+4/Starter_Code/.ipynb_checkpoints/whale_analysis-Copy5-checkpoint.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Visualizing Chipotle's Data # Special thanks to: ...
assignments/Pandas/HW6b.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd import seaborn as sns import matpl...
2020superBowl/Untitled.ipynb
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Lab1.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # 3) Hierarchical Clustering import pandas as pd im...
5/Q3/Q3.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <div class="text_cell_render border-box-sizing rende...
Automatic Feature engineering.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda env:wildfires] * # language: python # name: conda-env-wildfires-py # --- # ## When regridd...
analyses/test_SIF_regrid.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Customising static orbit plots # The default styl...
docs/source/examples/Customising static orbit plots.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # First test the sqw stuff on something I know I'll un...
notebooks/sphericalWaveTest/sphericalWaveTest.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .jl # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Julia 1.5.4 # language: julia # name: julia-1.5 # --- using DelimitedFiles using...
lectures/Card1993.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + # Standard imports import pandas as pd import matp...
mavenn/examples/datasets/gb1/gb1_intrinsic_info_v2.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + [markdown] papermill={} tags=[] # # OpenWeatherMap...
OpenWeatherMap/OpenWeatherMap_Get_City_Weather.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # $$ # H = \frac{|p|^2}2 + \gamma \sin(\theta t) s + \...
The Time-Perturbed Kepler model.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Workspace \#1: ``tools.py`` import sys sys.path.i...
workspace_notebooks/ws-1_tools.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + id="myZ1jfvUr1yx" colab_type="code" colab={"base_uri": "https://localhost...
day5.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Variational Inference API Quickstart # # PyMC4 now...
notebooks/Variational_API_Quickstart.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # + import os import sys import glob import torch impo...
src/roboy_hand/gesture_recognition/old/toy_dataset/toy_gray.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- import pandas as pd startup = pd.read_csv('Datasets/s...
Statistics_Sampling_Population.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
Prelim Exam.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # FINN - End-to-End Flow # -------------------------...
notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # # Démarrer # # Pour programmer un ordinateur, nous a...
doc/start/index.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.7.5 64-bit # name: python3 # --- # + import matplotlib.pyplot as plt import numpy as np import pand...
loss_plot.ipynb
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scratch/test_cheby_closed.ipynb