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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: venv_multimodal # language: python # name: venv_multimodal # --- # + import numpy as np import torch imp...
src/.ipynb_checkpoints/analyze_supcomp-checkpoint.ipynb
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examples/jupyter_notebook/digital_circuits/combinational/Decoder.ipynb
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Lab01/sprints/Lab01S03.ipynb
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convolutional-neural-networks/mnist-mlp/mnist_mlp_exercise.ipynb
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notebooks/experiments_lstm/medium_article_pytorch_tensorboard_lstm_window_50_cut_start_20_classes.ipynb
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examples/greenformer_factorize_gpt2.ipynb
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Pymaceuticals/pymaceuticals_27Jan2021.ipynb
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Course-9 Applied Data Science Capstone/Labs/DP0701EN-2-2-1-Foursquare-API-py-v1.0.ipynb
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notebooks/logistic regression/Madelon.ipynb
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002_Python_Pandas_Exercise_1.ipynb
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analytics/notebooks/crop_fires/Exploration.ipynb
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heap/findMedianStream.ipynb
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aws/gpu_tree_shap/gpu_tree_shap.ipynb
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fig_sources/notebooks/distributions2.ipynb
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Numpy-random.ipynb
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docs/datasets_models/Example_0_tensorflow.ipynb
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lessons/lesson3/data/1_Objects_Methods_and_Functions_oh_my!.ipynb
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notebooks/Untitled.ipynb
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WIP/3 - PixelCNNs blind spot in the receptive field/pixelcnn_receptive_field.ipynb
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onemode.ipynb
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labs/lab_09_Cristobal_Lobos.ipynb
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C3 Machine Learning I/LABS_PROJECT/Tech_Fun_C3_P4_Game_AI,_Heuristical_Agents.ipynb
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Ch.2/image_basics_in_OpenCV/.ipynb_checkpoints/05.summary_and_questions-checkpoint.ipynb
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doc/source/tune/examples/skopt_example.ipynb
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notebooks/05.colorPCA-for-normal-tumor-images.ipynb
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OOP/Inheritance.ipynb
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app/utils/shuowen_base64.ipynb
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09. Clustering Grocery Items.ipynb
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script/playground/ext_evaluation_rotated.ipynb
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package_tutorials/src/tutorial_rgbif_package.ipynb
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concatenating multiple DataFrames together.ipynb
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examples/tokens/Token Examples Notebook.ipynb
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1.Chapter-Python/2-Python_Basis/courses/40-Lambda-Expressions.ipynb
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docs/notebooks/examples/2D_simulation(macro_amorphous)/plot_1_I=2.5.ipynb
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notebooks/wythoff_exp45.ipynb
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ML Project SVR 6033657523.ipynb
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examples/MagnifyingGlass.ipynb
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blogs/batch_predictions/batch_predictions_keras.ipynb
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analyses/seasonality_paper_2/15_most_important/variable_diagnostics.ipynb
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cmse802-s20/0211-ABM_pre-class-assignment.ipynb
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ch5/Untitled.ipynb
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Solution2_biLSTM.ipynb
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Aniyom Ebenezer/phase 1/python 1 basis/DAY2_challenge_submission.py.ipynb
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scripts/plot_test2_gabi.ipynb
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tensorflow/day2/answer/.ipynb_checkpoints/A_02_07_house_prediction_data_div_with_normalization-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 # --- # # MMD-VAE (using the Model class) # + from __future...
examples/mmd_vae.ipynb
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graphs_trees/bst_validate/bst_validate_solution.ipynb
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004. Median of Two Sorted Arrays.ipynb
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docs/examples/02-source-url.ipynb
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coding-exercises-avairds/week3/part1-dictionaries-multiple-conditions/multiple-conditions.ipynb
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docs/contents/help/help.ipynb
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SearchOfDataStructure/week4/gensim.ipynb
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cloud_tpu_colabs/JAX_NeurIPS_2020_demo.ipynb
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multiple_choice_questions.ipynb
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generators_starter.ipynb
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LinearRegression.ipynb
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notebooks/Python-in-2-days/D1_L3_Python/__Python_Summary__.ipynb
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Fashion-MNIST Clothing Classifier/Clothes_Image_Identifier.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 0.4.6-pre # language: julia # name: julia-0.4 # --- # ## Viscoplastic mate...
docs/tutorials/2016_5_2_viscoplastic_material_small_strain.ipynb
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08.corresponding-authors.ipynb
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dashboard.ipynb
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notebooks/Spur_Fitting.ipynb
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Chapter04/Time_comparison_of_augmentation_scenario.ipynb
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05_unet_semantic_segmentation.ipynb
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notebooks/put model into mlmd.ipynb
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docs/playground/5-Collect_Techniques_by_Data_Sources.ipynb
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Program's_Contributed_By_Contributors/AI-Summer-Course/py-master/pandas/13_crosstab/pandas_crosstab.ipynb
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module1/Zhenya_Warshavsky_assignment_applied_modeling_1.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 # --- # # Use a Symbolic Link # # The file [mymodule.py](mym...
importing-local-python-modules-from-jupyter-notebooks/symbolic-link/symlink.ipynb
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Linear_Regression_Model.ipynb
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prototype/comp_frameworks_lr_k22.ipynb
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PythonCH_Clifford_simulator.ipynb
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Chapter07/Exercise 7.03/Exercise 7.03.ipynb
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tutorial/quantum_simulation/VQE_EN.ipynb
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Colab Notebooks/MLRH_Preprocessing_Complete.ipynb
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Week6_LogisticRegression.ipynb
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Linear Regression/Housing Case Study RFE.ipynb
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Lending Club.ipynb
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notebooks/05.0-viz-transitions-continuous/.ipynb_checkpoints/transitions-bengalese-finch-sober-with-dendrogram-checkpoint.ipynb
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docs/productive/testing/ipytest.ipynb
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TemporalDifference/SARSA/SARSA-FrozenLake.ipynb
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Data-Speaks-Laviosa1.ipynb
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Starter_Code/credit_risk_resampling.ipynb
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module-2/lab-hypothesis-testing/your-code/challenge-1-solution.ipynb
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Sound Test.ipynb
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doc/SuppTechInfo/python/DRN-Discharge-Scaling.ipynb
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book/fp/intro.ipynb
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week05/examples_lecture07_classes.ipynb
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2comp_results.ipynb
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dog_app.ipynb
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process.ipynb
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Problem 030 - Digit fifth powers.ipynb
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courses/fast-and-lean-data-science/02_Dataset_playground.ipynb
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Source/Chapter02/01 supervisedMLAlgorithms.ipynb
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Model History/model.ipynb
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notebooks/.ipynb_checkpoints/DFS_2LSTM_pred_plots-checkpoint.ipynb
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rossmann-sales-prediction/data-preparation.ipynb
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geometric_brownian_motion.ipynb
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pluralsight/data_visualization_YK_Sugi/Module 9 - Solving Real World Problem/What's the Fastest Growing Country in GDP.ipynb
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experiments/baseline_ptn_32bit/oracle.run1.framed/trials/1/trial.ipynb