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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 # --- # ## This code is a demo for calling the Restartr API....
clinical-demo-notebooks/RestartrApiDemo.ipynb
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dl-hack-track-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 (ipykernel) # language: python # name: python3 # --- import pandas as pd import glob # All file...
SocialMedia_Analysis.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 # --- # # Reflecting Bear # ## Background # Panda Bear is co...
assignment-3/reflecting-bear.ipynb
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examples/Enterprise/Darwin Supervised Classification Example.ipynb
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Machine Learning/Linear Regression/Linear Regression-1.ipynb
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IO with basic Files in Pythons.ipynb
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notebooks/applianceUsage.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 # --- # # Data Load # ### Install Packages, load data # + ...
src/data/.ipynb_checkpoints/data_load-checkpoint.ipynb
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examples/multi-layer.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 # --- # # TP3 Kernel Methods for Machine Learning # setup i...
Kernel-Method-for-ML-Codes/.ipynb_checkpoints/TP3-checkpoint.ipynb
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notebooks/exploratory/1-clean/1.5-clean-tip-data.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python (herschelhelp_internal) # language: python # name: helpint # --- # # EGS master catalogue # ## Pr...
dmu1/dmu1_ml_EGS/1.10_PanSTARRS1-3SS.ipynb
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001.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 # --- # # Titanic Survival Machine Learning Mode...
Supervised Learning/Model Automation/Titanic-ml.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 # --- # + """ In theory this should work with reasonable out...
code/ppms/17_11_28_ppms_stats.ipynb
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Notebooks/0 - TF2.X Tutorials/tf_2_tflite_conversions.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: research # language: python # name: research # --- # # Beta Extraction # # Replicating LSA regression us...
notebooks/BetaExtract.ipynb
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New_model.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 # --- # # 深度学习简介 # # 你可能已经接触过编程,并开发过一两款程序。同时你可能读过关于深度学习或者机器学...
1.chapter_introduction/deep-learning-intro.ipynb
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main.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 # --- # + [markdown] papermill={"duration": 0.032637, "end_t...
BERT_with_MT.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 60: Activity recognition using CNN-LSTM # ...
lecture60a.ipynb
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examples/community/python/example_karateclub.ipynb
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Inference/unet-pretrained-ensemble-starter-draft-1.ipynb
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src/multiprocessing.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: Python [conda root] # language: python # name: conda-root-py # --- import numpy as np # ## Concat # # A...
notebooks/Python/NumPy/Numpy_concat_append_ravel_mgrid.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 # --- # # Encapsulation in Python # <ul><li>Enc...
WEE11/Week 11 - Encapsulation Practice.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 # --- # # CSE 110 Week 7 # # ## 07 Prove: Assign...
jupyter-notebook-CSE-110/week07-prove-assignment.ipynb
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seminar04.ipynb
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AxionCPV.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 # --- # [![Open In Colab](https://colab.research.google.com/...
notebooks/Handcrafting a game.ipynb
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w2-python/homework/Assignment1.ipynb
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notebooks/run_lsn.ipynb
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VQE/vqe_molecular_example.ipynb
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docs_src/basic_train.ipynb
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1/aoc2021_1.ipynb
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module1/s2_sparql.ipynb
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csv-explorer.ipynb
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Python_basics.ipynb
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notebooks/variant_effect_prediction.ipynb
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Udemy/Refactored_Py_DS_ML_Bootcamp-master/15-Decision-Trees-and-Random-Forests/02-Decision Trees and Random Forest Project.ipynb
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tutorials/4 Analysis/C. Parametric sweeps/4.21 Capacitance matrix.ipynb
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bench/plots/multi-thread/eps-vgeo-x18.ipynb
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data_analytics.ipynb
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CONS 302 101 2021W1 Module 3 Discussion Grading - Peer Evaluation Grade Calculation.ipynb
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4_archmage/1.1.1. Perceptron and Adaline.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 # --- # # Data analyses in Python # # Imagine you have a `.c...
notebooks/python_statistics.ipynb
% -*- coding: utf-8 -*- % --- % jupyter: % jupytext: % text_representation: % extension: .m % format_name: light % format_version: '1.5' % jupytext_version: 1.14.4 % kernelspec: % display_name: Octave % language: octave % name: octave % --- % # <center>Alkalmazott Analízis I...
7.feladatsor.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 cv2 import numpy as np import matpl...
GLCIC/demo.ipynb
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positional-embedding.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] id="wKY1p5iyzY0f" # # Final project - Applied Mathematics # #...
AppliedMathematics_FinalProject.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 # --- # # Exponential Distribution # # The Exponential distr...
fundamentals_2018.9/distributions/bestiary/exponential.ipynb
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lectures/12-regular-expressions/re.ipynb
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fb_login_using_selenium.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 1.5.4 # language: julia # name: julia-1.5 # --- # # Markov model using Sos...
notebook/markov_soss/markov_soss.ipynb
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Image_recognition_DeepLearning_Models/20200823_Model_Selection_with_more_data/3_Baseline_CNN_with_flower_dataset.ipynb
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data_science/code/modeling/chemostat_0.12/conc2count_acetate.ipynb
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Chapter_9.ipynb
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nlabseq/templates/kallisto_quantification.ipynb
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mocs/aat_ms5/programs/aat_ms5.ipynb
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LS_DS_231_Logistic_Regression.ipynb
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notebooks/RAKE.ipynb
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nbs/31_text.data.ipynb
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notebooks/DEAP Playground.ipynb
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.14.4 # kernelspec: # display_name: conda_mxnet_p36 # language: python # name: conda_mxnet_p36 # --- # # Sentiment Classification for Movie ...
2.nlp/02_sentiment_classification_navermovie_kor.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 # name: python3 # --- # # Accounts Merge # Given a list of accounts where each element ...
python-data-structures/interview-fb/accounts-merge.ipynb
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DataCamp_Projects/The-Android-App-Market-on-Google-Play/notebook (2).ipynb
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lfw-ds.ipynb
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pyqstrat/src_nb/markets.ipynb
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pyfinance example.ipynb
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courses file/image processing in python/capter1.ipynb
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notebook/mec-18.5.1-time-series-analysis-mini-project/Mini_Project_Time_Series_Forecasting.ipynb
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dev/course/lesson3-head-pose.ipynb
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sketch.ipynb
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data/notebooks/Lab/marxan_outputs.ipynb
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docs/examples/DataSet/Offline Plotting Tutorial.ipynb
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.ipynb_checkpoints/car-lane-detection-checkpoint.ipynb
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ipynb/Advent 2017.ipynb
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data/compare_data/compare_properties.ipynb
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Modules/Module-4-Separation-II/4.10 - Practice Problem 1.ipynb
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Algo/.ipynb_checkpoints/Interpolation_DataXSens-checkpoint.ipynb
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notebooks/1.2-hcm-crop-images-faster.ipynb
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Tweet_sentiment.ipynb
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Machine Learning/Building DNN from scratch/Building DNN from scratch.ipynb
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examples/smirks_from_molecules.ipynb
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python_csv.ipynb
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demos/fast_gather_gene_sets.ipynb
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notebooks/01 - GAP network scan.ipynb
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BERT with Pytorch.ipynb
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courses/Ch16_EOS/eos.ipynb
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Chapter 3 - Point and Interval Estimation.ipynb
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notebooks/01_scrape_google_images.ipynb
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courses/machine_learning/deepdive2/structured/labs/3b_bqml_linear_transform_babyweight.ipynb
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Recognising_Trend_in_Time_Series_Data.ipynb
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Practice.ipynb
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2_visualizing_data/week_3/assignment_3_harder.ipynb
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core/FizzBuzz.ipynb
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01神经网络和深度学习/Code编程作业/deeplearning第1专题编程作业/deeplearning编程作业/week4/Deep Neural Network Application Image Classification/第四周-一步步搭建多层神经网络以及应用2-图像分类.ipynb
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Day-3/3. Leap_Year.ipynb