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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 # --- import plotly import plotly.graph_objs as go from IPyt...
loadbalanceRL/notebooks/test_cellular_env.ipynb
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old/plan_tfidf_cosine_similarity.ipynb
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week 07 - deep learning/Seminar 7.ipynb
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Tutorial-ETK_thorn-IDScalarWaveNRPy.ipynb
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Sample/Day_15_Sample.ipynb
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HML/chapter16/Shakespeare.ipynb
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Sliding_Window_Maximum.ipynb
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B.ipynb
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Bank_failure_m1_ex4_v4 (1).ipynb
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complete_writeup.ipynb
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docs-static/Tat_Model/tests/CrystalizationTest.ipynb
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dtoc_cross_correlation-bk_version.ipynb
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Aula 10/Aula 10 - POO.ipynb
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Data6C/Data_6C.ipynb
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Zad3/stats_certs.ipynb
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docs/_build/.jupyter_cache/executed/5a35244f37b8ee189df93f714a0470e9/base.ipynb
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practice/numpy_matrix.ipynb
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6. Python - Dictionaries.ipynb
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dataAnalysis/LAHealthcareProject/2. Healthcare_DataMiningResearch.ipynb
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percolate/notebooks/percolation_visualization.ipynb
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desaf033.ipynb
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code/chapter06_RNN/6.4_rnn-scratch.ipynb
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Deutsch_Jozsa.ipynb
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Chapter03/Indexing in pandas dataframes.ipynb
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Modulo1/Clase1_IntroPor.ipynb
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backend/src/playground/MJ/EDA_E1_3.ipynb
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Homework/2019/Task1/12/code/Entailment with TensorFlow.ipynb
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eda-consumer-finance/abhinav_chinta_Quant.ipynb
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notebooks/Data_Preparation_Large_File_Aayush_Niranjay_Deshpande.ipynb
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src_kg/link_prediction/main/wn18_distmult_1v1.ipynb
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scrape_mars.ipynb
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assets/projects/DQ_App_google/Basics.ipynb
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notebooks/pathline_trace.ipynb
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Chapter5-Machine Learning/Feature Engineering.ipynb
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Time2Vec/Time2Vec.ipynb
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7.25.ipynb
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csv.ipynb
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Data Science Academy/Python Fundamentos/Cap02/Notebooks/DSA-Python-Cap02-02-Variaveis.ipynb
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example/example_experimental_setup.ipynb
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dmu6/dmu6_VIDEO/1_Make_sxds_photoz_input.ipynb
// --- // jupyter: // jupytext: // text_representation: // extension: .scala // format_name: light // format_version: '1.5' // jupytext_version: 1.14.4 // kernelspec: // display_name: Scala // language: scala // name: scala // --- // # 99 Scala Exercises (31 to 41) // ### 3...
Exercises31-41.ipynb
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python/Testing Installation.ipynb
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notebooks/tsalib.ipynb
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Deep Learning/MUSK & NON-MUSK Compounds Classification/MUSK.ipynb
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04_deploy_model/04_deploy_model_monitor.ipynb
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Notebook/Lesson-bagging/starter-code.ipynb
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courses/machine_learning/deepdive/10_recommend/content_based_using_neural_networks.ipynb
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notebooks/Architect.ipynb
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Mundo03/Desafio103.ipynb
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YahooFinance/YahooFinance_Send_daily_prediction_to_Email.ipynb
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run_ml_pipeline.ipynb
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notebooks/explore/segregation/decomposition_wrapper_example.ipynb
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Plant_Leaf_MalayaKew_MK_Dataset/Model_Transpose_Input_Visualization.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 # --- # !pip install --quiet gTTS playsound # + from gtts i...
content/lessons/07/In-Class-Text-To-Speech-Demo.ipynb
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Chapter02/Layerwise Propagation.ipynb
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notebooks/04_basic_parameters_tuning.ipynb
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docs/guides/02_paddle2.0_develop/02_data_load_cn.ipynb
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examples/notebooks/07Calibrate_single_wls.ipynb
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notebooks/exploration/Dprime.ipynb
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Notebooks/GW viz with plotly.ipynb
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chapter08/chapter08.ipynb
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OOP/Practice Sessions/Python_Control_Practice.ipynb
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docs/tutorials/simulations/corr.ipynb
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notebooks/105-language-quantize-bert/105-language-quantize-bert.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 json # + from watson_developer_cloud import To...
files/nb_demo/watson/tone_analyzer-node.ipynb
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example/test_with_pandas.ipynb
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ola_ride.ipynb
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Kaggle/Yelp_2013/DataPreprocessing/LDA.ipynb
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permutation/brexit_ages.ipynb
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examples/function_and_class/neighors.ipynb
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Code/Evaluation_system/old_version/Drag&moments.ipynb
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python-for-data-analysis/pandas/group-by.ipynb
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python1.ipynb
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notebooks/93_mnl_sampling.ipynb
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community/awards/teach_me_quantum_2018/bronze/bronze-solutions/B32_Probabilistic_States_Solutions.ipynb
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_notebooks/2020-09-19-SweetViz- Automated EDA.ipynb
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docs/notebooks/qi-performance-test.ipynb
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05_Numpy_neuralNet.ipynb
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alpha_four_prototyping.ipynb
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notebooks/06 - Working with Batch Inferencing Service.ipynb
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Mahfuzur_rahman_VISUALIZATION.ipynb
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Chapter08/Exercise8.02/Exercise8_02.ipynb
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Matplotlib Graph Example.ipynb
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models/bag_of_ngrams.ipynb
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general_grid_assembly.ipynb
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openmdao/docs/openmdao_book/features/building_blocks/solvers/scipy_iter_solver.ipynb
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docs/docs/colab-notebook/chronos/chronos_nyc_taxi_tsdataset_forecaster.ipynb
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notebooks/GRAV_1-mapas-interpolacao-gravidade.ipynb
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getting_started_materials/intro_tutorials_and_guides/08_Introduction_to_Dask_XGBoost.ipynb
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000 Projekte_Juerg/00 Direktinvestitionen/Kopien/Direktinvestitionen CH-Copy2.ipynb
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notebook1.ipynb
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src/rathings/notebooks/BeamDeconvolution.ipynb
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Analysis/Michael/Michael_EDA.ipynb
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SimpleResNet.ipynb
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tutorials/W1D3_ModelFitting/student/W1D3_Tutorial6.ipynb
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eda.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 # --- # ## Model Components # # The 5 main components of a `...
examples/02_Model_Components.ipynb
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UsefulLabs/hw02_groceries.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 # --- # ## Intrusive Galerkin # # This tutorial uses the sam...
docs/tutorials/intrusive_galerkin.ipynb
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notebooks/2 - Earth Engine API Examples/0 - Authenticate to Earth Engine.ipynb