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examples/filters/reference/satn_to_seq.ipynb
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docs/testing_matbal.ipynb
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nbs/archive/_05_models.wavenet.ipynb
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tutorials/Tutorial.ipynb
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Python_Stock/Portfolio_Strategies/Long_term_SPY.ipynb
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notebooks/modelExperiments112320_PA_to_GA-NN.ipynb
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eval_pos.ipynb
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Building a simple NN.ipynb
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terra/qis_intro/superposition.ipynb
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database/notebooks/01-set-up-database.ipynb
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src/model.ipynb
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dev/07_vision_core.ipynb
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examples/example_submission_systems.ipynb
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cse203/code/CSE203Lecture1.ipynb
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src/recommenders/efficient_serving.ipynb
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PySparkDemo.ipynb
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Web_Crawling/python-crawler/chapter_4/mysql-rss.ipynb
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11 - Introduction to Python/4_More on Operators/1_Comparison Operators (2:10)/Comparison Operators - Solution_Py2.ipynb
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contrib/batch_inferencing/tabular-dataset-inference-iris.ipynb
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Practical_Reinforcement_learning/week_1/primers/recap_tensorflow.ipynb
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Simul1.ipynb
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03 - Object Detection.ipynb
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MOW.ipynb
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try_runs/Sparkify_6th_run.ipynb
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task01/crossentropy_method.ipynb
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Congestion_Policies/Generate_TNC_Trips.ipynb
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DeepLearningWithPython/06_CatsVsDogs/.ipynb_checkpoints/CatsVsDogsmain-checkpoint.ipynb
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upwork-devs/Pappaterra-Lucia/Releases Visualisation.ipynb
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notebooks/pate2017single.ipynb
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docs/notebooks/Reducing_Code.ipynb
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comp_hw-1.ipynb
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notebooks/plot rjmc typing trees.ipynb
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presentations/10_30_19_Yifeng.ipynb
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1-3D-visualization/2-Styles.ipynb
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jupyter-notebooks/2 - reproject_sentinel2.ipynb
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notebooks/02-WordsAnalyses.ipynb
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SQL/.ipynb_checkpoints/5. DML - Data Manipulation Language - parte 2 - UPDATE e DELETE-checkpoint.ipynb
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.ipynb_checkpoints/genderGraphing-checkpoint.ipynb
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Python_for_data_analysis_NUMPY.ipynb
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mod_02_python_intro/mod_02_01_about_python.ipynb
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tutorials/getting-started-train/3.pytorch-model-cloud-data.ipynb
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WIP/Multi Armed Bandit.ipynb
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notebooks/part4_netcdf.ipynb
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02_interface_graphique/space_invaders/01_missiles.ipynb
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3_neural_network/1_intro_neural_network.ipynb
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notebook.ipynb
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misc/notebooks/tutorials/basic/epr_pair.ipynb
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docs/tensor-1d.ipynb
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hypsecant_related/.ipynb_checkpoints/Untitled-checkpoint.ipynb
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Experimental/DW_LCAM/[1]_Main_EEG_representation_Giga.ipynb
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sst_science/monthly_california_sst_anomalies.ipynb
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power_data_scrap.ipynb
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content/99. Technical Appendices/99.2 nbev3devsim user interface.ipynb
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AEBS/AEBS_AOB_FAC_longterm.ipynb
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tutorials/W3D2_BasicReinforcementLearning/student/W3D2_Tutorial1.ipynb
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archive/test_phage_reference/0_explore_references_created.ipynb
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application_train_test.ipynb
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practice/intro_Pandas.ipynb
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vtkplotter_examples/other/dolfin/notebooks/ex06_elasticity2.ipynb
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Intro_to_GA_practice/ex5_mulambda.ipynb
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nbs/99_manuscript/lvs/lv246/lv246-cell_types.ipynb
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codes/Support Vector Machines.ipynb
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.ipynb_checkpoints/Pyber-checkpoint.ipynb
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Chapter03/Activity3.07/Activity3.07.ipynb
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notebook/optm.ipynb
# -*- coding: utf-8 -*- # --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: R # language: R # name: ir # --- # # ** DIscBIO: a user-friendly pipeline for bio...
notebook/DIscBIO-CTCs-Binder-Part3.ipynb
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notebooks/intro-python.ipynb
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chapter04_convolutional-neural-networks/cnn-batch-norm-gluon.ipynb
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logistic_regression_examples/logistic_regression_ex1.ipynb
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sources/demoreports/demodocx.ipynb
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markdown_generator/PubsFromBib.ipynb
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Drafts.ipynb
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Problem 1.22.ipynb
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Lesson03/Exercise42-47/Matplotlib and Descriptive Statistics.ipynb
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exercises/2.33.ipynb
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Visualization2/test.ipynb
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Udacity_AWS_ML_Foundations/codes/optimizing-code-common-books-example.ipynb
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03 Data Visualization/06 Choosing plot Types & Styles.ipynb
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praktikum/backlog/NeuralNetwork.ipynb
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week03/.ipynb_checkpoints/notebook_notes_week03-checkpoint.ipynb
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passwordcheck/Passwordcheck_Attack_4_1.ipynb
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ts_xgboost_example.ipynb
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1_Introduction_to_Python.ipynb
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covid_drugs.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 Quick Fix Example 1 # # Noticed that FNDM1 and F...
notebooks/Fixing Flywheel BIDS Data Using a Table.ipynb
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05-models/02-experiment-design/07.1-run_gbt_model_kmodes-ds1-cs3.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 # --- # # Compute conformer energies for a small molecule # ...
examples/conformer_energies/conformer_energies.ipynb
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new-corrections/lemmatize-latin-text/extraction_tokens.ipynb
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Week3/Models/S3_model2.ipynb
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notebooks/regrid_wecan.ipynb
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A - Using TorchText with Your Own Datasets.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python 3.10.0 64-bit # language: python # name: python3 # --- # # Merge Bugianen and serve as pmtiles # ...
topo_merge/Bugianen-merge.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 glob import glob import pandas as pd import matpl...
dda_analysis/q_tables.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 cheatsheet for Python standard library <br /> # So...
Python_Standard_Llibrary/Python Standard Library .ipynb
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example.ipynb
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figures/Figure3.ipynb
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Chapter 11/Section17_03_Histogram_Equalization.ipynb
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Tutorials/WebinarDocuments-04-04-2017/CNTK_103B_MNIST_FeedForwardNetwork.ipynb
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Postscrpit Interperator/sps(graded).ipynb
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Playground/PlotsPython.ipynb