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# # Biphenyl MM Energies
# Adapted from: https://gith... | wbo-manuscript-figures/biphenyl_example/biphenyl_mm_energy.ipynb |
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# + code_folding=[0]
# Imports
# %run ../imports.ipyn... | edgar/EDGAR_Compustat_CRSP_link.ipynb |
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# # Task 1
#
# Implement basic layer which will consis... | week_2/Task_1_neuron_inner_class.ipynb |
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# # Quasi-Random Sequence Generator Comparison
# +
fr... | demos/quasirandom_generators.ipynb |
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# name: python383jvsc74a57bd00b64f3f517ef2f38123c9b9d844dc7ba7aeffcc4... | notebook/save_image_embeddings.ipynb |
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# ... | notebooks/Combine_datasets/Combine_MTBLS315_ST000578_Malaria_sets.ipynb |
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# # Exercise
# **1. Create Two numpy array of ... | Lab-1/Lab_1_2_Linear_Algebra_with_NumPy.ipynb |
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# ## Dynamic U-Net
# This module builds a dynamic [U-... | docs_src/vision.models.unet.ipynb |
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from pgmpy.factors.discrete import TabularCPD
P_A... | statistics/200713-network_inference.ipynb |
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# # Module 2 : Réseaux convolutionnels pour le traitem... | src/tutorial/cnn_pytorch_tutorial/.ipynb_checkpoints/cnn_pytorch_tutorial-checkpoint.ipynb |
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from aeneas.executetask import ExecuteTask
from aeneas... | code/align.ipynb |
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# # Loghist : logarithmic histograms
#
# I created Uti... | notebooks/loghist-showcase.ipynb |
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# + id="uuxjqh_ZBU62" colab_type="code" colab={"base_uri": "https://localhost... | Reinforcement_Learning/Week_07/07_Cliff_Environment_Playground.ipynb |
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# [`spikesorters_docker`](https://github.com/catalystn... | tidy_venv/test_spikesorters_docker.ipynb |
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# ### PARTIAL ORDER PLANNER
# A partial-order plannin... | planning_partial_order_planner.ipynb |
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my_string = "hello"
# +
my_list = []
for letter in m... | List Comprehension.ipynb |
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# # Data For this notebook:
#
# **combined_sig_df.pkl*... | Issue_Embeddings/notebooks/08_Train_Repo_Specific_IssueLabeler.ipynb |
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import matplotlib
import numpy as np
import matplotlib... | Training_Data_Generation/generate_mask_alpha.ipynb |
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# ### MLflow Project Example
#
# <table>
# <tr><td>
... | projects/notebooks/jupyter/solutions/.ipynb_checkpoints/3_run_project_keras_example_lr-checkpoint.ipynb |
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# # Weights and sampling probabilities
# ... | 2022-04-09_sampling.ipynb |
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# + id="VW_aHwmke65K" cellView="form"
#@title
#all imports
import zipfile
# f... | image_preprocess.ipynb |
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# %run ../../common/import_all.py
from common.set... | prob-stats-data-analysis/testing/chi-squared.ipynb |
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# + [markdown] id="rRdm5kMEWoCk"
# # Mount GoogleDrive... | notebooks/colab.ipynb |
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# # Housing Inventor... | Housing Inventory - Explore.ipynb |
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# higher order functions
import functools
import ... | examples/functools.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | projects/modelingsteps/ModelingSteps_5through10.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | tf_mine_rock_classifier.ipynb |
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import pyleoclim as pyleo
import json
import matplotlib.pyp... | notebooks/Methods/gap_wwz_segment.ipynb |
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from sklearn.model_selection import train_test_split
... | drafts/wildlife_classification.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | ContextualizedEmbeddings/Debias_Contextualized_Representations.ipynb |
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# # Molecular Dynamics Analysis tool for MLTSA
#
# ML... | notebooks/MD_data_analysis.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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import numpy as np
impo... | Train/RNN.ipynb |
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# + id="z8BzSgt1F0gF"
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import pandas_datareader as web... | predict/LSTM.ipynb |
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# + [markdown] id="1JTOLsTlxXLa"
# # Introduction to CNN and Computer Vision ... | notebooks/03_CNN_computer_vision.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as... | Pyber_ride_data.ipynb |
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# # DKRZ data submission forms:
#
# This notebook all... | dkrz_forms/Templates/Create_Submission_Form.ipynb |
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# %matplotlib inline
import numpy as np
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# # <NAME>
import matplotlib.pyplot as plt
import num... | notebooks/Residential.ipynb |
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import plotly.graph_objects as go
fig = go.Figure(
... | src/examples/Plotly_Example.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | notebooks/deep_net.ipynb |
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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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from... | web_scraping.ipynb |
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import csv
import numpy as np
import pandas as pd
... | Classification.ipynb |
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# + id="g4vfh9wkGA2i" colab_type="code" colab={}
# # !pip install datadotworl... | matrix_one/day3.ipynb |
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# # DBR
#
# In this notebook we model a single DBR cel... | notebooks/2_dbr.ipynb |
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# # Machine Vision Applications
#
# Exampl... | notebooks/10.02-Machine-Vision.ipynb |
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# ## Malaria identification using Convolut... | Malaria-Identification.ipynb |
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# # Exercise6: TensorFlow進階技巧
# <table class="tfo-notebook-but... | Exercise/Exercise6.ipynb |
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# + active=""
# This is the sample code to check the e... | examples/Untitled1.ipynb |
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class BankAccount:
def __init__(self):
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | COVID_19_augmentation.ipynb |
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# + [markdown] toc=true
# <h1>Table... | app/notebooks/questions/are_big_faces_more_male (face height).ipynb |
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from tpot import TPOTClassifier
from sklearn.model_sel... | titanic-disaster/titanic.ipynb |
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# # Functions for creating annotated datas... | data-analysis/create_dataset/alternative_model_labels/create_CR_sent_classification_dataset.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | IMDB_Sentiment_Analysis.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | Starter-Code/Apply clustering techniques.ipynb |
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# **Download** (right-click, save target as ...) thi... | 8-Labs/Lab19/src-2021/Lab19-TH.ipynb |
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# !pip install smote-variant... | Chapter13/Exercise_13_3_Logistic_Regression_Model_with_SMOTE.ipynb |
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# ## Distance between a point and a line
#
# Given a l... | doc/source/ipynb/point_line.ipynb |
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# # Quantitative Momentum Strategy
#
# "Momentum inves... | P2_Quantitative_Momentum_Strategy_Equiweighted/002_quantitative_momentum_strategy.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# +... | mutations/mutated_data_kmerizer.ipynb |
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# # A Whale off the Port(folio)
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#
# In this ... | Week 3+4/Starter_Code/.ipynb_checkpoints/whale_analysis-Copy5-checkpoint.ipynb |
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# # Visualizing Chipotle's Data
# Special thanks to: ... | assignments/Pandas/HW6b.ipynb |
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# # 3) Hierarchical Clustering
import pandas as pd
im... | 5/Q3/Q3.ipynb |
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# ## When regridd... | analyses/test_SIF_regrid.ipynb |
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# # Customising static orbit plots
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# First test the sqw stuff on something I know I'll un... | notebooks/sphericalWaveTest/sphericalWaveTest.ipynb |
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using DelimitedFiles
using... | lectures/Card1993.ipynb |
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# Standard imports
import pandas as pd
import matp... | mavenn/examples/datasets/gb1/gb1_intrinsic_info_v2.ipynb |
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# + [markdown] papermill={} tags=[]
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# $$
# H = \frac{|p|^2}2 + \gamma \sin(\theta t) s + \... | The Time-Perturbed Kepler model.ipynb |
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# # Workspace \#1: ``tools.py``
import sys
sys.path.i... | workspace_notebooks/ws-1_tools.ipynb |
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# + id="myZ1jfvUr1yx" colab_type="code" colab={"base_uri": "https://localhost... | day5.ipynb |
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# # Variational Inference API Quickstart
#
# PyMC4 now... | notebooks/Variational_API_Quickstart.ipynb |
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impo... | src/roboy_hand/gesture_recognition/old/toy_dataset/toy_gray.ipynb |
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import pandas as pd
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# + [markdown] id="view-in-github" colab_type="text"
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# # FINN - End-to-End Flow
# -------------------------... | notebooks/end2end_example/bnn-pynq/tfc_end2end_example.ipynb |
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# # Démarrer
#
# Pour programmer un ordinateur, nous a... | doc/start/index.ipynb |
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