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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 string import pandas as pd import matplotlib.py...
explore_kaggle_data.ipynb
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deep-learning/sentiment-consensus.ipynb
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module4-classification-metrics/Matt_Haley_DSPT6_224_Assignment.ipynb
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psets/set1/set1_prob4_part2.ipynb
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parasitic_capacitance_sensitivy_notlog10.ipynb
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tutorials/demo_datashader.ipynb
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SEIR_model.ipynb
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Builtup_ANN_Landsat8_exercise.ipynb
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8. Code indentation in Python-checkpoint.ipynb
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analysis/Precision Benchmark.ipynb
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tests/trpo_test.ipynb
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assignments/assignment4/.ipynb_checkpoints/HotdogOrNot-checkpoint.ipynb
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index.ipynb
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courses/machine_learning/deepdive2/introduction_to_tensorflow/solutions/train_models_with_tensorFlow_decision_forests.ipynb
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Simple Linear Regression task1.ipynb
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nb/2019_winter/Lecture4-Optimization-Using-Python-SciPy-InClass.ipynb
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src/Part2/Quiz18.ipynb
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analysis.ipynb
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docs/examples/tutorial/05_hatchet_query_examples.ipynb
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UG_F16/Lin-Sarinoglu-NYC Inspection Analysis.ipynb
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day03.ipynb
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Build_Ground_TruthCSV.ipynb
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module3/LS_DS_233_solution.ipynb
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example/ipynb/opendatatools-aqi.ipynb
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code/Project1_summit.ipynb
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BART.ipynb
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examples/Demo_Single_Curvelet.ipynb
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test_rbda_bcw.ipynb
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docs/examples/03_BlankenbachBenchmark.ipynb
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sorting_searching/merge_into/merge_into_solution.ipynb
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manifold.ipynb
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notebooks/converting/.ipynb_checkpoints/4.0-ajmk-CommIn-CommOut-checkpoint.ipynb
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Tutorials/CGC/access_TCGA_on_AWS_via_DatasetsAPI.ipynb
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model2.ipynb
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exp/jigsaw-exp019-toxic-xlm-roberta.ipynb
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Extra Codes/Machine Learning/Padding.ipynb
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test/ipynb/Test_CTT.ipynb
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python-tuts/0-beginner/Crazee Math.ipynb
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code/0book2-ch1.ipynb
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docs/source/demos/cost_benefit_matrix.ipynb
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Knowledge_Distillation/kd_implement_code.ipynb
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Untitled.ipynb
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content/ch-states/case-for-quantum.ipynb
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Modulo1/.ipynb_checkpoints/2. Hello World Python-checkpoint.ipynb
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python/0/Amp_Puente.ipynb
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Model/CNN LSTM.ipynb
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05-module-scalable-batch-ingestion/m5_nb1_sm_processing_sklearn.ipynb
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E1/solutions/ps-far-na-solution.ipynb
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Employment Data Output/Data Cleaning/2015 Employment Merged.ipynb
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01.Python/Python_01_Basic.ipynb
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HomeWork/Day_049_HW.ipynb
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learn_nn/MNIST_basic.ipynb
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01 Python Refresher.ipynb
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dev/35_tutorial_wikitext.ipynb
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MAIN/2. Introduction to NLP with SpaCy.ipynb
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homeworks/HW8/HW8_final.ipynb
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simple_ARGO_analysis.ipynb
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Markov Chain Monte Carlo/.ipynb_checkpoints/Bayesian Statistics using PyMC3-checkpoint.ipynb
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machine_learning_related/using_pytorch.ipynb
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code/nb/setting_up_python.ipynb
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nlp/test_endpoint.ipynb
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examples/Notebooks/lines_from_NHDPlusHR_demo.ipynb
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course_notes/AMATH582-Lec5.ipynb
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seasonal-birth-data-visualization.ipynb
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Chapter01/Chapter1_TF2_alpha.ipynb
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Loop_Statement.ipynb
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plots/HybridOptis.ipynb
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MNIST-to-CSV.ipynb
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1. Text Representation.ipynb
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14. Deep Reinforcement Learning with Stable Baselines/14.04. Playing Atari games with DQN and its variants.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="xKPj4b4J1dk4" from google.colab import drive drive.mount('/content/gd...
Colab/multi-task_model_opt_with_listed_input.ipynb
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notebooks/analisisasociados.ipynb
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sentiment analysis/BERTGRU.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] colab_type="text" id="1GWJAmQDX7TJ" # # CNN for CIFAR-10 with ...
00_Deep_Learning_PyTorch/06_cnn/03_CIFAR10-CNN-dropout.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 # --- # # Lecture 3.8: Learning Better Pt.2 # # [**Lecture S...
learning_better_pt.2.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 # --- # + import pandas as pd import json import...
analysis/hyperparameters_1/summary.ipynb
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vignettes/Getting_Started.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .r # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Ruby 2.5.0 # language: ruby # name: ruby # --- # + require 'charty' charty = Charty::Plotter.new(:matplo...
examples/daru.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 # --- # # DAT257x: Reinforcement Learning Explained # # ## L...
ReinforcementLearning/DAT257x/library/LabFiles/Module 5/Ex 5.2 SARSA Agent.ipynb
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Homework1.ipynb
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figures/stampeed/LDL/LDL_thresholded_145.ipynb
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socratica/video-05.ipynb
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Semester/SW03/.ipynb_checkpoints/Skript-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 # --- # # Dynamic vs Static Typing # # Static typing languag...
python-deepdive/deepdive1/section03/section_03_18.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 # --- # # Begining of Life # # The purpose of th...
examples/micro_reactor/haleu_pwr/burnup/.ipynb_checkpoints/haleu_burnup-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 # --- # ## Tracking multi faces import cv2 import dlib impo...
src/Webcam_Face_Recognition_Tracking_Reload.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 # --- # # Encodings # # Encodings are a set of rules mapping...
Data_Engineering/ETL Pipelines/9_encodings_exercise/9_encodings_exercise.ipynb
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Ch10_Attention_Mechanisms/seq2seq_attention.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 # --- # <h1> Time series prediction, end-to-end </h1> # # Th...
courses/machine_learning/deepdive/09_sequence/labs/sinewaves.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 # --- # # Begee Database # + # The usual preamble import pa...
pipeline/download_files/analyze_all_files.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 dependencies for sql import sqlalchemy from s...
.ipynb_checkpoints/climate_analysis-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 multiprocessing import cpu_count from pathlib...
examples/reconstruction_circle.ipynb
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notebooks/model_view_distilbert.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 # --- # # Predicting Boston Housing Prices # # ## Updating a...
Tutorials/Boston Housing - Updating an Endpoint.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 # --- # # Introduction # # This project is intended to resea...
.ipynb_checkpoints/Analysis-checkpoint.ipynb
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Convert Color to GrayScale/.ipynb_checkpoints/CtoBGresults-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 # --- print("hi") print('hi') #integer a=45 b=5.6 print(...
note.ipynb
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Sentimental Analysis/Cafes in Tanjong Pagar/Codes/(Tanjong Pagar) Quarters.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 # --- # # Fit halo mass to shear profile: 3. accounting for ...
examples/Example3_Fit_Halo_Mass_to_Shear_Catalog.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 # --- # # Introduction to Object-Oriented Programming # # In...
book/docs/lectures/python/intro_to_oop.ipynb